CurveFitter performs statistical **regression** analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions. The **regression** analysis determines the values of the parameters that cause the function to best fit the observed data that you provide. This process is also called curve fitting. Fit thousands ...

... it seems that very few researchers using multiple **regression** or structural equation modeling techniques do investigate for ... interactions. If fact, in the context of multiple **regression**, a statistically significant interaction is often perceived as ... an indication that an important assumption of multiple **regression** has been violated (namely the additivity assumption) without ...

Interpolation and **Regression** are fundamental and important calculations in mathematics. Mr. Newton and Mr. Gauss were engaged in-depth with numerical solutions for these problems. Today, there are improved algorithms, that can solve such tasks. InterReg allows you to do such complex calculations just with some point-and-click. So this program is ...

... statistical analysis program that performs linear and nonlinear **regression** analysis (i.e. curve fitting). DataFitting determines the values ... and general nonlinear functions. DataFitting performs true nonlinear **regression** analysis, it does not transform the function into a linear form. As a result, it can handle functions that are impossible to linearize such ...

Openshere offers a set of highly configurable modules that can be combined with existing programs or components seamlessly build a smart infrastructure for supporting and speeding up development and provides a complete harness for testing in an integration environment. Forget about cumbersome setups or complex and unrealistically expensive tools requiring hours ...

Openshere 64-bit offers a set of highly configurable modules that can be combined with existing programs or components seamlessly build a smart infrastructure for supporting and speeding up development and provides a complete harness for testing in an integration environment. Forget about cumbersome setups or complex and unrealistically expensive tools requiring ...

... Cubic Method is a new method for data **regression** analyse , it expanded Least Square Method, According ... used to work out single factor linear data **regression**, multi factors linear data **regression**, single factor non-linear data **regression**, and multifactors non-linear data **regression**. ...

NLREG performs nonlinear **regression** and curve fitting. NLREG fits a mathematical function whose form you specify to a set of data values. Virtually any type of function can be fitted. NLREG includes a programming language similar to C that you use for describing the function to be fitted. Two dimensional ...

... to provide a script based mechanism for Automatic **Regression** Testing. The software provides a scripting language which allows the user to expand the capabilities via plug-in testing modules. A number of plug-in modules are provided with the software to allow for: - 1) Communication via a serial device (RS-232, TCP, ...

... applications. QA Wizard Pro automates the functional and **regression** testing of Web, Windows, and Java applications, and load testing of Web applications. Using a single application to perform both functional and load tests reduces your software investment and training time, letting your team test more of your application in less ...

... optimum equations to describe empirical data using a **regression** method. ndCurveMaster is the first and only program ... from ranking list - user can start stepwise **regression** procedure with backward elimination the least significant variables ... unlimited multivariate - full statistical analysis - stepwise **regression** with backward elimination - history and ranking of ...

Opensphere offers a set of highly configurable modules that can be combined with existing programs or components to seamlessly build a smart infrastructure for supporting and speeding up development and provides a complete harness for testing in an integration environment. Forget about cumbersome setups or complex and unrealistically expensive tools requiring ...

... statistical and multivariate data analysis package. It includes **regression** (linear, logistic, nonlinear), multivariate data analysis (Principal Component Analysis, Discriminant Analysis, Correspondence Analysis, Multidimensional Scaling, Agglomerative Hierarchical Clustering, K-means, K-Nearest Neighbors, Decision trees), correlation tests, parametric tests, non parametric tests, ANOVA, ANCOVA, mixed models and much more. Field-specific solutions allow for ...

... a 2D graph (digitizing); 7) Curve Fit (nonlinear **regression** - least squares method, Levenberg-Marquardt algorithm - with ... the main programs of this menu use nonlinear **regression**. LABFit fits functions of one and several independent variables (from 1 up to 6), admitting uncertainties at the dependent variable (Y) and also at ...

... the changing graphs, including linear and non linear **regression**, interpolation, differentiation and integration, during entering. Rt-Plot enables ... in graph, unlimited number of calculated lines, linear **regression**, polynomial, non linear **regression**,interpolation, smoothing, differential, integral, calculations can use statistical weights, ...

... Circular, Normal and Poisson, Simple and Multiple Linear **Regression, Regression** Comparison, Nonparametric Tests such as Friedman, Kruskal-Wallis and Mann-Whitney, Principal Component Analysis, Univariate and Multivariate t-Tests. statistiXL also produces a wide range of plots ...

UltimaCalc Professional is a highly functional graphing math toolbox with a compact and intuitive design offering the ultimate balance of power and convenience. Its algebra module lets you perform manipulations and simplifications on basic and complex algebraic expressions. UltimaCalc lets you do calculus: differentiate an expression, or find its integral and ...

... sampled data and perform descriptive statistics, T-tests, linear **regression**, and non-parametric tests. PSPP lets you compute variables, ... PSPP can perform descriptive statistics, T-tests, linear **regression** and non-parametric tests. Its backend is designed to perform its analyses as fast as possible, regardless of the size of the input data. You ...

... Option Pricing Model 8. Portfolio Optimization 9. Multiple **Regression** 10. Bootstrap - A Non-Parametric Approach 11. Multivariate Standard Normal Probability Distribution 12. Monte Carlo Simulation 13. Option Greeks Based on Black-Scholes Option Pricing Model ...

... to 100 graphs in one window. Calculus features: **regression** analysis, obtaining zeroes and extrema of functions, intersections, derivatives, equations of tangents and normals, numerical integration, value tables, calculator. Lots of graph and coordinate plane parameters. You will be able to create high-quality graphs and copy them to your documents (as ...

... enables you to perform black-box tests, white-box tests, **regression** tests or change management tests of software applications. Zeta Test Management helps you to plan, perform, log, monitor and document the tests, and then to evaluate the test results. Create and manage your test cases and test plans with Zeta Test ...

... DynaFit application was developed to perform nonlinear least-squares **regression** of chemical kinetic, enzyme kinetic, or ligand-receptor binding data. The experimental data can be either initial reaction velocities in dependence on the concentration of varied species (e.g., inhibitor concentration vs. velocity), or the reaction progress curves (e.g., time vs. absorbance). ...

... Results are displayed graphically as changes are made. **Regression** curve fits are 1st to 5th order polynomial, power, exponential, or log. The graphs allow total freedom in setting up scales and grids. Log scales with up to 20 cycles for each axis are available. ...

... ideal tool for Six Sigma, descriptive statistics, ANOVA, **regression**, dummy **regression**, intelligent data input, factor analysis, nonlinear **regression**, box plots, nonparametric tests, and correspondence analysis. Fast ...

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