Alternatives to NLREG

SPC for Excel, a simple but powerful package, to handle all your SPC and statistical analysis needs. SPC for Excel software allows you to identify problem areas, gain insight into your data, spot trends and solve problems. All this in Excel. From the novice to the black belt, SPC for Excel will facilitate your process improvement efforts – in any industry – profit or non-profit. Get all the techniques you need for your charting and analysis – including Pareto diagrams, Histogram, Control Charts, Gage R&R, Process Capability, Distribution Fitting, Data Transformation, Regression, DOE, Hypothesis Testing, and more! One time payment – yours forever. Two downloads per user and free Technical support. Try out our Demo – see how easy it is! Process Capability analysis - to meet customer needs Control charts and histograms - to manage processes Gage R&R Studies – To validate your measurement system Problem Solving Tools (Pareto and histogram, scatter, etc.) - to help your group solve problems Advanced Data Analysis Tools (DOE and ANOVA, distribution fittings, regression, hypotheses testing and more) are available to meet your advanced requirements.

IBM® SPSS® Statistics software is used by a variety of customers to solve industry-specific business issues to drive quality decision-making. The IBM® SPSS® software platform offers advanced statistical analysis, a vast library of machine learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make SPSS accessible to users of all skill levels. What’s more, it’s suitable for projects of all sizes and levels of complexity, and can help you find new opportunities, improve efficiency and minimize risk.

Worldwide, professional researchers prefer a user-friendly and swift tool for the analysis and creation of presentation-ready biplots, correspondence maps, mdpref, and MCA maps. This powerful 64-bit software is compatible with both PCs and MACs. Our unique Brand Projector I enables users to compute and visually represent the necessary attribute alterations for repositioning a brand (column) to any desired location on a map. In addition, Brand Projector II offers researchers the ability to modify attributes (rows) interactively, allowing them to observe the corresponding movement of the brand (column) in real-time. This dynamic interaction enhances the understanding of brand positioning strategies significantly.

DigitalClone®, for Engineering is the only software that integrates multiple scales of analysis into a single package. It is the world's best gearbox reliability prediction tool. DC-E, in addition to the modeling and analysis capabilities at the level of the gearbox and the gear/bearing, is the only software that models fatigue life using detailed, physics-based models (US Patent 10474772B2). DC-E allows the construction of a digital twin of a gearbox. This includes all stages of the asset's lifecycle, from design and manufacturing optimization to supplier selection to failure root cause analysis to condition based maintenance and prognostics. This computational environment reduces the time and cost of bringing new designs to market and maintaining them over time.

Our namesake product, Minitab Statistical Software, leads the way in data analysis with the power to visualize, analyze and harness your data to gain insights and solve your toughest challenges. Access trusted, proven and modern analytics combined with dynamic visualizations to empower you and your decisions. The latest version of Minitab Statistical Software includes access to Minitab on the cloud so you can analyze from anywhere, and Graph Builder, our new interactive tool to instantly create multiple graph options at once. Minitab offers modules for Predictive Analytics and Healthcare to boost your analytics even further. Available in 8 languages: English, Chinese, French, German, Japanese, Korean, Spanish, and Portuguese. For 50 years, Minitab has helped thousands of companies and institutions spot trends, solve problems, and discover valuable insights in their data through our comprehensive, best-in-class suite of data analysis and process improvement tools.

JMP is a data analysis tool compatible with both Mac and Windows that merges robust statistical capabilities with engaging interactive visualizations. The software simplifies the process of importing and analyzing data through its user-friendly drag-and-drop interface, interconnected graphs, an extensive library of advanced analytic features, a scripting language, and various sharing options, enabling users to explore their datasets more efficiently and effectively. Initially created in the 1980s to leverage the potential of graphical user interfaces for personal computing, JMP continues to evolve by incorporating innovative statistical techniques and specialized analysis methods from diverse industries with each new version released. Furthermore, John Sall, the founder of the organization, remains actively involved as the Chief Architect, ensuring the software stays at the forefront of analytical technology.

DataMelt, or "DMelt", is an environment for numeric computations, data analysis, data mining and computational statistics. DataMelt allows you to plot functions and data in 2D or 3D, perform statistical testing, data mining, data analysis, numeric computations and function minimization. It also solves systems of linear and differential equations. There are also options for symbolic, non-linear, and linear regression. Java API integrates neural networks and data-manipulation techniques using various data-manipulation algorithms. Support is provided for elements of symbolic computations using Octave/Matlab programming. DataMelt provides a Java platform-based computational environment. It can be used on different operating systems and programming languages. It is not limited to one programming language, unlike other statistical programs. This software combines Java, the most widely used enterprise language in the world, with the most popular data science scripting languages, Jython (Python), Groovy and JRuby.

ndCurveMaster, a specialized curve fitting software, is designed to fit curves with multiple variables. It automatically applies nonlinear equations to your datasets. These can be observed or measured values. The software supports curve and surfaces fitting in 2D 3D 4D 5D ..., dimensions. ndCurveMaster is able to handle any data, no matter how complex or how many variables there are. ndCurveMaster, for example, can efficiently derive the optimal equations for a dataset that has six inputs (x1-x6) and a corresponding output Y. For example: Y = a0 - a1 - exp(x1)0.5 + a2 ln(x2)8... + a6 x65.2 to accurately match measured value. ndCurveMaster uses machine learning numerical methods to automatically fit the most suitable nonlinear regression function to your dataset, and discover the relationships between inputs and outputs. This tool supports various curve fitting methods, including linear, polynomial, and nonlinear methods. It also utilizes essential validation and goodness-of-fit tests to ensure accuracy. Additionally, ndCurveMaster provides advanced assessments, such as detecting overfitting and multicollinearity, using tools like the Variance Inflation Factor (VIF) and the Pearson correlation matrix.

Numerical analysis, also known as scientific computing, focuses on the study of techniques for approximating solutions to mathematical challenges. Scilab features an array of graphical functions that allow users to visualize, annotate, and export data, as well as numerous options for creating and personalizing diverse plots and charts. As a high-level programming language designed for scientific applications, Scilab facilitates rapid algorithm prototyping while alleviating the burdens associated with lower-level languages like C and Fortran, where issues like memory management and variable declarations can complicate the process. With Scilab, complex mathematical computations can often be expressed in just a few lines of code, whereas other programming languages might necessitate significantly more extensive coding. Additionally, Scilab is equipped with sophisticated data structures, including polynomials, matrices, and graphic handles, and it provides a user-friendly development environment that enhances productivity and ease of use for researchers and engineers. Overall, Scilab's capabilities streamline the process of scientific computing and make it accessible to a wider audience.

If you're a researcher seeking to analyze data without being an expert in statistics, Statistix is the perfect solution for you. You can get started in just a few minutes—no programming skills or manual reading required! This user-friendly software is designed to save you both time and resources. Offering a comprehensive suite of both fundamental and advanced statistical tools, Statistix provides everything you need in one cost-effective package. It features robust data manipulation capabilities, compatibility for importing and exporting Excel and text files, as well as an array of statistical methods such as linear models (including linear and logistic regression, Poisson regression, and ANOVA), nonlinear regression, nonparametric tests, time series analysis, association tests, survival analysis, quality control, power analysis, and much more. With Statistix, managing and analyzing your data becomes an accessible and efficient process.

Stata delivers everything you need for reproducible data analysis—powerful statistics, visualization, data manipulation, and automated reporting—all in one intuitive platform. Stata is quick and accurate. The extensive graphical interface makes it easy to use, but is also fully programable. Stata's menus, dialogs and buttons give you the best of both worlds. All Stata's data management, statistical, and graphical features are easy to access by dragging and dropping or point-and-click. To quickly execute commands, you can use Stata's intuitive command syntax. You can log all actions and results, regardless of whether you use the menus or dialogs. This will ensure reproducibility and integrity in your analysis. Stata also offers complete command-line programming and programming capabilities, including a full matrix language. All the commands that Stata ships with are available to you, whether you want to create new Stata commands or script your analysis.

With a focus on transforming your concepts into reality, Altair Compose facilitates data analysis, algorithm development, and model creation. This versatile environment is equipped for performing mathematical calculations, data manipulation, visualization, and script programming while also supporting debugging for repetitive tasks and process automation. Users can engage in a wide range of mathematical functions such as linear algebra, matrix manipulation, statistical analysis, differential equations, signal processing, control systems, polynomial fitting, and optimization techniques. The extensive collection of native CAE and test result readers streamlines system comprehension and integrates seamlessly with Altair Activate® to enhance model-based development for both multi-domain and system of systems simulations. Furthermore, Altair Embed® enriches the model-based design ecosystem with capabilities for automated code generation, which enables thorough testing and verification of embedded systems, ensuring reliability and performance in various applications. This comprehensive suite of tools empowers users to innovate and optimize their projects effectively.

The QMSys GUM Software is designed for assessing the uncertainty inherent in physical measurements, chemical analyses, and calibration processes. It employs three distinct methodologies to compute measurement uncertainty. The first, GUF Method for linear models, targets linear and quasi-linear models, aligning with the GUM Uncertainty Framework. This approach calculates partial derivatives, representing the initial terms of a Taylor series, to ascertain sensitivity coefficients for the equivalent linear model, followed by the determination of combined standard uncertainty using the Gaussian error propagation law. The second, GUF Method for nonlinear models, caters to nonlinear models where results exhibit symmetric distribution. This method incorporates various numerical techniques, including nonlinear sensitivity analysis and higher-order sensitivity indices, as well as quasi-Monte Carlo simulations utilizing Sobol sequences. With its multifaceted approach, the software provides comprehensive tools for uncertainty analysis across different measurement contexts.

NXG Logic Explorer is a comprehensive machine learning software designed for Windows, aimed at facilitating data analytics, predictive analytics, unsupervised class discovery, supervised class prediction, and simulation tasks. By streamlining various processes, it allows users to uncover new patterns in exploratory datasets and engage in hypothesis testing, simulations, and text mining to derive valuable insights. Among its notable features are the automatic cleaning of disorganized Excel input files, parallel feature analysis for generating summary statistics, Shapiro-Wilk tests, histograms, and frequency counts across multiple continuous and categorical variables. The software also supports the simultaneous execution of ANOVA, Welch ANOVA, chi-squared, and Bartlett's tests for various variables, while automatically creating multivariable linear, logistic, and Cox proportional hazards regression models based on a pre-set p-value criterion to filter results from univariate analyses. Overall, NXG Logic Explorer serves as a powerful tool for researchers and analysts who seek to enhance their data analysis capabilities efficiently.

XLfit® is an add-in for Microsoft® Excel designed for Windows that integrates advanced scientific mathematics and statistical analysis directly into the familiar Excel environment, complete with robust charting features. Recognized as a premier statistical and curve fitting tool, XLfit is trusted by top organizations in the pharmaceutical, chemical, engineering sectors, and academic research, with validation from the National Physical Laboratory (NPL). Users can access a library of over 70 pre-built models for both linear and nonlinear curve fitting, accommodating the needs of experiments in drug discovery and related fields. In addition to these standard models, XLfit allows the addition of an unlimited number of custom user-defined models. The software offers capabilities such as linear and nonlinear modeling, as well as interactive 2D and 3D charting, facilitating features that are essential for scientists. With its comprehensive set of tools, XLfit empowers researchers to effectively analyze and visualize their data.

This econometric modeling software features an intuitive interface accompanied by one of the most extensive collections of data management tools, enabling you to swiftly and effectively formulate statistical and forecasting equations. You can take advantage of top-notch capabilities such as support for 64-bit Windows large memory, object linking and embedding (OLE), as well as smart edit windows. The software allows for rapid analysis of time series, cross-section, and longitudinal data, making statistical and econometric modeling more efficient. In addition, it enables you to create presentation-quality graphs and tables, facilitating superior budgeting, strategic planning, and academic research. The inclusion of context-sensitive menus enhances usability, while the batch programming language and tools for add-ins or user objects expand functionality. With full command line support and drag-and-drop features, generating forecasts and model simulations becomes a straightforward task. Moreover, EViews 12 continues to deliver the power and ease-of-use that users have come to rely on, ensuring that both beginners and advanced users can maximize their productivity. Its robust capabilities make it an invaluable asset for professionals across various fields.

PolyAnalyst, a data analysis tool, is used by large companies in many industries (Insurance Manufacturing, Finance, etc.). It uses a visual composer to simplify complex data analysis modeling instead of programming/coding. This is one of its most distinctive features. It can combine structured and poly-structured data for unified analysis (multiple-choice questions and open ended responses), and it can process text data from over 16+ languages. PolyAnalyst provides many features to meet comprehensive data analysis requirements, including the ability to load data, cleanse and prepare data for analysis, deploy machine learning and supervised analytics techniques, and create reports that non-analysts may use to uncover insights.

MATLAB® offers a desktop environment specifically optimized for iterative design and analysis, paired with a programming language that allows for straightforward expression of matrix and array mathematics. It features the Live Editor, which enables users to create scripts that merge code, output, and formatted text within an interactive notebook. The toolboxes provided by MATLAB are meticulously developed, thoroughly tested, and comprehensively documented. Additionally, MATLAB applications allow users to visualize how various algorithms interact with their data. You can refine your results through repeated iterations and then easily generate a MATLAB program to replicate or automate your processes. The platform also allows for scaling analyses across clusters, GPUs, and cloud environments with minimal modifications to your existing code. There is no need to overhaul your programming practices or master complex big data techniques. You can automatically convert MATLAB algorithms into C/C++, HDL, and CUDA code, enabling execution on embedded processors or FPGA/ASIC systems. Furthermore, when used in conjunction with Simulink, MATLAB enhances the support for Model-Based Design methodologies, making it a versatile tool for engineers and researchers alike. This adaptability makes MATLAB an essential resource for tackling a wide range of computational challenges.

IBM®, SPSS®, Amos is an advanced structural equation modeling software that extends standard multivariate methods such as regression, factor analysis and correlation. It also allows you to perform analysis of variance. Create behavioral and attitude models that reflect complex relationships more accurately using a graphical or programmatic interface. Amos is included with the Premium edition of SPSS Statistics, except for the Campus edition where it is sold separately. Amos is available as part of SPSS Statistics' base, standard, and professional editions, or as a standalone application.

Many statistical software packages are created by statisticians for statisticians, resulting in tools that are rich in features yet can be daunting for scientists due to complex manuals, technical terminology, and steep costs. However, GraphPad InStat stands out as it is crafted by a scientist specifically for fellow researchers. This user-friendly program allows even those new to statistics to analyze their data efficiently within minutes. InStat provides a streamlined experience for statistical analysis, guiding users through each step of their evaluation. Within just a short time, you will become proficient in using InStat without needing to identify the specific statistical test required for your analysis. The software assists you in selecting the right test by prompting you with questions about your dataset, ensuring a tailored approach. If any uncertainties arise, the comprehensive help screens are available to clarify statistical concepts in easily understandable terms. InStat caters to users of all levels of statistical knowledge, presenting results in straightforward language with minimal technical jargon. Furthermore, the help screens offer a detailed overview of how each statistical test is utilized, making it an invaluable resource for researchers. InStat truly simplifies the process of statistical analysis, making it accessible and effective for everyone.

GeneXproTools, an award-winning product from Microsoft, is a highly adaptable modeling software that caters to various needs such as regression, logistic regression, classification, time series forecasting, and logic synthesis. Its user-friendly interface allows users to easily import data and generate models with a single click of the Start button. The software comes in five different versions: Home, Standard, Advanced, Professional, and Enterprise, with discounted Academic Versions offered to educational institutions and students. Capable of handling datasets comprising tens of thousands of variables, GeneXproTools excels at identifying and extracting key features and their interconnections. Furthermore, it simplifies access to a wide range of data sources, including raw text files, databases, and Excel spreadsheets, making it accessible even to those without programming experience. This powerful tool empowers users to create robust and precise models without needing any coding knowledge, ensuring that anyone can harness its capabilities.

The newest version of the free software MCM Alchimia has been designed to facilitate the estimation of measurement uncertainty and calibrations using the Monte Carlo method in accordance with JCGM 101. In this update, a comprehensive GUM framework uncertainty budget has been introduced, and similar to the previous version, it maintains support for correlated quantities and regression curves. Additionally, it boasts a speed enhancement that rivals well-known calculation and statistics programs. Users can perform simulations using direct, inverse, and total least squares methods, offering versatility in analysis. Furthermore, there is a custom application language available through an external module, allowing for tailored functionality. The output report provides a thorough statistical analysis of the simulations conducted, ensuring users have detailed insights into their results. This release significantly enhances the usability and efficiency of the application for professionals in the field.

SmartstatXL: Comprehensive Statistical Analysis Within Excel. Harness the complete capacity of your data using SmartstatXL, an Excel add-in that effortlessly incorporates advanced statistical analysis into your well-known spreadsheet platform. This innovative tool aims to streamline your data evaluation workflow by merging the powerful features of statistical software with the user-friendly nature of Excel. Noteworthy Characteristics of SmartstatXL: • Seamless Excel Integration: Conduct intricate data evaluations right inside Excel. SmartstatXL’s seamless integration enables you to utilize Excel’s capabilities while accessing sophisticated statistical tools, eliminating the hassle of toggling between different software. • Broad Range of Analytical Tools: SmartstatXL is packed with an extensive selection of features that cater to various analytical needs, including Descriptive Statistics, Normality Tests, Hypothesis Tests (like t-Tests and z-Tests), and advanced techniques such as Correlation, Regression, ANOVA, Time Series Analysis, Reliability Assessments, Factor Analysis, PCA, and Discriminant Analysis, ensuring all your statistical needs are met efficiently. With SmartstatXL, you can elevate your data analysis to new heights without sacrificing the comfort of your existing tools.

CoPlot Version 6.45 is a highly adaptable software tool designed for generating top-notch 2D and 3D scientific visualizations, which include data plots, equations, maps, and various technical illustrations. The program's development is centered on a singular objective: to create a resource that empowers scientists and engineers to achieve their precise graphical needs with ease. Additionally, CoPlot integrates CoStat for effective data management and statistical analysis. Users can produce detailed technical illustrations using a wide array of drawing tools provided by CoPlot. Its capabilities make it suitable for crafting genetic maps, field maps, flow charts, apparatus schematics, circuit diagrams, chemical structures, and much more. The program supports drawing objects and graphs with the ability to incorporate HTML-like text formatting tags and over 1,000 special characters, enhancing the visual appeal of the scientific outputs. With CoPlot, users can create outstanding scientific graphs and maps, utilizing seven fundamental graph types, more than 40 plotting methods for data, 18 different ways to represent equations, flexible attributes for customization, asymmetric and horizontal error bars, and 12 distinct axis types, ensuring a comprehensive suite for all graphical needs. This extensive range of options makes CoPlot a valuable asset for anyone looking to present data visually in a professional and effective manner.

PeopleFluent’s performance management solution empowers managers to add value to their businesses by facilitating employee success. With PeopleFluent Performance Management, you have access to a comprehensive set of resources designed to create and implement scalable programs. This software encourages your team to excel, fosters a supportive culture, and aids in achieving your organizational objectives. Recognizing that every company, its workforce, and its processes are distinct, PeopleFluent Performance Management offers a customizable experience. Tailored workflows and assessments integrate seamlessly into your current systems, while forms are easily adaptable for any device, ensuring user-friendliness. Building an exceptional team requires dedication and strategic planning to cultivate talent effectively. Our career path visualization tools are instrumental in steering employee development, allowing you to pinpoint skill deficiencies and address them accordingly. By investing in your employees' growth, you not only enhance individual performance but also contribute to the overall success of your organization.

ASReml-SA is a robust statistical software specifically tailored for mixed models that utilize Residual Maximum Likelihood (REML) for parameter estimation. Linear mixed-effects models serve as a versatile and comprehensive method for analyzing numerous datasets frequently encountered in fields such as animal, plant, and aquatic breeding, as well as in agriculture, environmental sciences, and medical research. The newest version, ASReml-SA 4.2, boasts three times the memory capacity of its predecessor 4.1, allowing for significantly larger analytical tasks to be performed. With enhancements in parallel processing and the capability to allocate memory for specific operations, the software has also seen improvements in speed; a comparison table is provided below to illustrate the speed enhancements realized across various analyses. ASReml-SA 4.2 not only accelerates processing but also offers users the potential for optimized performance tailored to their specific hardware and analytical needs. Ultimately, these advancements reflect ASReml-SA's commitment to facilitating efficient and effective data analysis.

Cornerstone data analysis software enhances the efficiency of designing experiments and exploring data while allowing users to analyze dependencies and derive actionable insights immediately and interactively, all without requiring programming skills. It facilitates an engineer-friendly approach to executing statistical tasks, freeing users from the complexities of statistical intricacies. The software enables quick detection of correlations within data, even when operating within a Big Data framework. By employing statistically optimized experimental designs, it minimizes the number of experiments needed and accelerates the overall development process. Additionally, it supports rapid identification of usable process models and root-cause analysis through exploratory and visual data examination. Structured planning, efficient data collection, and thorough result analysis further optimize the experiments conducted. Users can easily investigate the impact of noise in process variables on the corresponding responses, and the software automatically captures compact, reusable workflows for future use, making it an invaluable tool for data-driven decision-making. Ultimately, Cornerstone empowers users to streamline their data analysis and experiment processes significantly.

Origin is the preferred data analysis and graphing tool for more than half a million engineers and scientists in government and commercial laboratories around the world. Origin has an intuitive interface that is easy to use for beginners. You can also customize the program as you get more familiar. Origin graphs and analysis results can automatically adjust to data changes or parameter changes. This allows you to create templates or perform batch operations directly from the user interface without programming. Install free Apps from our website to extend the capabilities of Origin. Connect to other applications like MATLAB™, LabVIEW™, or Microsoft(c) Excel. Create custom routines in Origin with our scripting and C languages. OriginPro takes data analysis to the next level. OriginPro provides advanced analysis tools in addition to all the features of Origin.

Gain complimentary access to the robust SAS software designed for statistical analysis, data mining, and forecasting. Its intuitive point-and-click interface eliminates the need for programming skills. This allows users to employ the latest statistical and quantitative techniques at any time and from any location. SAS OnDemand for Academics provides access to the same high-caliber analytics tools that over 82,000 organizations globally utilize, including all Fortune 500 companies in sectors such as banking, health insurance, pharmaceuticals, aerospace, e-commerce, and IT services. This opportunity is available to professors, educators, students, and self-learners alike, making it easy to harness the power of SAS software through the cloud. The setup process is straightforward, requiring only a reliable broadband internet connection after initial configuration to utilize this premier analytics platform. Additionally, users can connect with a community of SAS enthusiasts to exchange questions, share insightful ideas, collaborate on various projects, and receive support from peers. Engaging with fellow users can significantly enhance the learning experience and foster professional growth.

StatPlus provides a comprehensive suite of statistical tools and graphical analysis methods. It is easy to use through a simple interface. StatPlus can be used in many areas, including sociology, financial analysis and biostatistics. It also has the potential to be used for healthcare, clinical research, and insurance industry. StatPlus is a professional tool for statistical analysis. However, the interface is so easy that even non-statisticians can use it. As long as they are able to use the PC and follow clear instructions, StatPlus can be used to process data. This allows you to focus on the analysis of the results and not worry about who or what processed them, or if there were any errors.

GAMS, which stands for General Algebraic Modeling System, is a premier software for mathematical modeling praised for its exceptional performance, scalability, and user-friendly interface. With the recent launch of GAMSPy, users can now seamlessly merge GAMS functionalities with Python, thus enhancing the efficiency and versatility of model development within the Python environment. The platform's algebraic modeling language greatly simplifies the formulation of optimization challenges, leading to optimal outcomes through the use of advanced mathematical solvers. Furthermore, GAMS MIRO introduces intuitive graphical interfaces for managing GAMS models, supporting both local and cloud-based deployment alongside sophisticated visualization tools. For those seeking scalable solutions, the GAMS Engine provides a dependable software as a service (SaaS) option, making it possible to execute models either on local servers or in the cloud. In addition to these features, GAMS is committed to supporting its users through various workshops, training sessions, and consulting services, aimed at enhancing their ability to create, refine, and implement effective decision-support systems. This comprehensive approach ensures that users are well-equipped to leverage GAMS to its fullest potential, fostering innovation and efficiency in their modeling endeavors.

Number Analytics is a web-based statistical software that can be used for marketing research. It has an easy-to-use interface and works on the cloud. It offers basic statistical analysis such as t-test, ANOVA and regression analysis. There are also more marketing-focused applications like choice based conjoint analyses and perceptual mapping.

MedCalc is a statistical package for biomedical research. Statistics includes more than 220 statistical tests and procedures, as well as graphs and methods, including ROC curve analysis and method comparison, and quality control tools.

Experience the robust statistical modeling and analysis capabilities typically found in high-end statistics software. This package encompasses a wide range of techniques including multiple regression and model fitting, ANOVA, ANCOVA, multiple comparisons, principal component analysis (PCA), factor analysis, and hypothesis testing, along with various tools for exploratory data analysis. It also features statistical process control and quality enhancement tools that help fulfill customer needs and ensure satisfaction. Furthermore, it enables compliance with regulatory standards through thorough analytical and diagnostic method validation and verification. Enjoy all the advanced functionalities of Analyse-it, integrating the best features from other versions. With over 25 years of experience in developing statistical software, we have established a strong reputation for quality and have collaborated with numerous prominent companies due to our proven track record. Our commitment to innovation and excellence keeps us at the forefront of the industry, ensuring our users have access to the latest advancements in statistical analysis.

RiskAMP is a comprehensive Monte Carlo simulation engine designed specifically for Microsoft Excel®, allowing for seamless integration with the software's interface and functions. The RiskAMP Add-in provides an extensive toolkit for incorporating risk analysis into spreadsheet models, streamlining the process while remaining more affordable than many competing options. Featuring a user-friendly integrated ribbon toolbar and support for VBA scripting, it also automatically generates charts and graphs. With the release of RiskAMP 6, new features have been added, including the PERT distribution for project and cost modeling, over 40 random distributions—including those that are correlated and multivariate—and automatic generation of histogram and correlation charts. The tool accommodates Latin Hypercube sampling, Las Vegas simulation algorithms, and distribution fitting, while also offering native compatibility with Windows on ARM architecture. RiskAMP is suitable for use with Excel versions ranging from 2013 to 365, whether in 32-bit or 64-bit formats, and users can also access a web-based risk platform known as RiskAMP Web. This versatility ensures that a wide range of users can benefit from enhanced risk analysis capabilities in their Excel applications.

NumXL is a suite time series Excel add-ins. It turns your Microsoft Excel application into a top-class time series software and an econometrics tool. It offers the same statistical accuracy as more expensive statistical packages. NumXL integrates with Excel natively, adding scores of econometric function, a rich set shortcuts, as well as intuitive user interfaces to help you navigate the entire process. (1) Summary Statistics - Gini and Hurst, KDE etc. (2) Statistical Testing - Normality, Stationarity, cointegration, etc. (3) Brown's, Holt's & Winter's exponential smoothing (4) ARMA/ARIMA/SARIMA & X12ARIMA (5) ARMAX/SARIMAX (6) GARCH/E-GARCH & E-GARCH

Power and Precision is an independent software tool specifically designed for conducting statistical power analysis, which helps users determine the appropriate sample size for their upcoming research projects. With its remarkably intuitive interface, the software offers various resources that aid in comprehending the nuances of power analysis. Users can effortlessly generate tables, graphs, and detailed reports with just a click of a button. An interactive guide is available to lead users through every phase of the power analysis process. It provides a versatile set of tools that allow users to visualize effect sizes and grasp how factors like alpha, effect size, and sample size interact. The generated reports not only serve as educational resources but also can be incorporated into the statistical sections of research proposals or grant applications. Additionally, including the graphical outputs in presentations or grant submissions can effectively support the rationale behind the chosen sample size. This comprehensive approach ensures that users can present their findings clearly and convincingly.

Effortlessly combine COMSOL Multiphysics® with MATLAB® to broaden your modeling capabilities through scripting within the MATLAB framework. The LiveLink™ for MATLAB® feature empowers you to access the comprehensive functionalities of MATLAB and its various toolboxes for tasks such as preprocessing, model adjustments, and postprocessing. Elevate your custom MATLAB scripts by integrating robust multiphysics simulations. You can base your geometric modeling on either probabilistic elements or image data. Furthermore, leverage multiphysics models alongside Monte Carlo simulations and genetic algorithms for enhanced analysis. Exporting COMSOL models in a state-space matrix format allows for their integration into control systems seamlessly. The COMSOL Desktop® interface facilitates the utilization of MATLAB® functions during your modeling processes. You can also manipulate your models via command line or scripts, enabling you to parameterize aspects such as geometry, physics, and the solution approach, thus boosting the efficiency and flexibility of your simulations. This integration ultimately provides a powerful platform for conducting complex analyses and generating insightful results.

Conducting effective statistical data analysis in Microsoft Excel can be challenging with the current add-ins and software tools available. However, UNISTAT stands out by integrating the capabilities and precision of a comprehensive statistical package into your existing data analysis and visualization routine. The process of utilizing UNISTAT as an Excel add-in is straightforward; simply highlight a data range and choose a procedure from the UNISTAT menus. Its user-friendly dialogue boxes make it easy to navigate, ensuring that you won't feel like you're using a separate application. This seamless integration enhances your analytical capabilities while maintaining a familiar Excel interface, making it a valuable tool for users looking to elevate their data analysis experience.

The ACE4J, or Adaptive Calculation Engine for Java, serves as a dependable solution for transforming Excel-based applications into cost-effective web applications, ensuring efficient performance and offering easy future maintenance and support. Furthermore, ACE4J features a contemporary formula language built on a powerful and effective calculation engine, adept at handling intricate Excel formulas. This makes it an invaluable resource for new Java-based web applications that demand significant computational capabilities. Acting as a Java API, the Adaptive Calculation Engine facilitates the evaluation of formulas crafted in a Microsoft Excel format. It includes a wide array of commonly used Excel functions that are essential for applications requiring intensive calculations. With each release, the range of available formulas and features expands, driven by valuable customer feedback. Notably, the Adaptive Calculation Engine can process thousands of formulas in mere seconds, showcasing its high efficiency and reliability in performance. This positions ACE4J as a remarkable choice for developers seeking to integrate advanced calculation functionalities into their web applications.

statistiXL is an advanced data analysis tool that functions as an add-in for Microsoft Excel on Windows platforms. Designed and developed by scientists, it caters to the rigorous demands of users seeking a comprehensive and adaptable statistical analysis solution that is both user-friendly and quick to master. You can now focus on obtaining results rather than spending excessive time deciphering manuals to conduct necessary analyses. Excel’s extensive features create a perfect platform for data entry, processing, and computation. By utilizing this familiar interface, statistiXL significantly enhances the capabilities of Excel to include sophisticated statistical analysis, eliminating the need to learn a completely new software application. This integration not only saves time but also maximizes efficiency, making it an invaluable resource for researchers and analysts alike.

ChemStat stands out as the most user-friendly and rapid solution for performing statistical evaluations on groundwater monitoring data at RCRA facilities. This application encompasses a wide range of statistical techniques outlined in the 1989 and 1992 USEPA statistical analysis documents, the USEPA Draft Unified Guidance Document, the U.S. Navy Statistical Analysis Guidance document, along with various other recognized guidance and methodologies from esteemed statistical literature. Its remarkable blend of simplicity and cutting-edge technology positions ChemStat as the leading choice for environmental statistical analysis. The constraints on data set size are primarily determined by the computer's memory for the majority of tests, allowing for an extensive array of parameters, wells, and sample dates. Additionally, users can enjoy the flexibility of having limitless parameter names and well label lengths, and they can easily exclude specific data points from their analyses, enhancing the application’s versatility even further. This makes ChemStat an invaluable tool for professionals dealing with complex environmental data.

Develve is a statistical software designed for the quick and straightforward analysis of experimental data within scientific and research settings, making it especially beneficial for both novice and experienced users. This package not only streamlines analysis but also minimizes the risk of erroneous conclusions. It prioritizes user-friendliness by eliminating complex hidden menus, ensuring that users can easily access all features and see results instantly, thereby enhancing overall efficiency. For example, users can seamlessly scroll through result graphs, and a simple click will enlarge them for better visibility. Develve also provides clear indications of significant differences between variables and assesses the adequacy of sample sizes to avoid misleading assumptions. It supports the Design of Experiments by assisting in the creation of test matrices and detects any imbalances among factors. Consequently, this software is instrumental in developing robust, high-quality products, establishing it as an invaluable tool in Six Sigma methodologies, and ultimately contributing to improved research outcomes and product success.

EngineRoom facilitates process enhancement through an extensive array of problem-solving resources. It integrates various graphical, statistical, and modeling instruments that aid in the organization and management of your projects. You can scrutinize your data, oversee projects, and design and map processes effectively. With EngineRoom’s user-friendly drag-and-drop interface, the typically challenging learning curve associated with desktop data analysis tools is significantly reduced. The platform also features interactive, patented wizards that guide users through hypothesis testing and design of experiments (DOE), ensuring accurate data analysis and clear reporting of findings. Additionally, there is no need for installation on individual desktops, management of complex licensing files, or dedicated hard drive space, allowing for immediate access to the platform. By logging into your account through any web browser, you can easily access your projects from anywhere, and when you revisit them, your data and results remain intact just as you left them. This seamless accessibility makes it convenient for users to continue their work without interruption, enhancing productivity and efficiency in project management.

Beautiful dashboards and reports are available in BI tools that allow users to examine patterns in historical data. Past data can provide insights. It cannot be prescriptive. Model-Driven decision making is the only way to get a better understanding of what could happen in unusual situations and how to make it happen. Analytica is an innovative visual software environment that allows you to build, explore, and share quantitative decision models that produce prescriptive results. Transcend cumbersome spreadsheets. Analytica's flexibility, power, flexibility, and clarity are a revelation. Analytica makes it easy to create transparent models in fractions of the time required for procedural languages such as R or Python. Analytica provides insights, not just numbers. Agile modeling can be used to create models that support business decision-making. Probabilistic simulations are efficient and accurate in estimating risk and uncertainty. Smart sensitivity analysis reveals what is important and why.