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 ... can include a wide array of linear and **nonlinear** models for any application. Its state-of-the-art data fitting ...

... powerful statistical analysis program that performs linear and **nonlinear regression** analysis (i.e. curve fitting). DataFitting determines the values ... DataFitting can handle linear, polynomial, exponential, and general **nonlinear** functions. DataFitting performs true **nonlinear regression** analysis, it does not transform the function into ... that includes a wide array of linear and **nonlinear** models from simple linear equations to high order ...

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 ...

DMFitter ActiveX control allows you to add sophisticated **regression** analysis tools to your software in a few lines of code. Features include: both linear and **nonlinear** (Levenberg-Marquardt) least squares curve fitting algorithms, arbitrary user models (defined analytically or by string expressions), double precision input vectors of any size, event support, ...

... 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 ...

... a 2D graph (digitizing); 7) Curve Fit (**nonlinear regression** - least squares method, Levenberg-Marquardt algorithm - with ... and the main programs of this menu use **nonlinear regression**. LABFit fits functions of one and several independent ...

... 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**. ...

... can be used to verify the results of **nonlinear regression** analysis program. Graphically Review Equations: EqPlot gives engineers and researchers the power to graphically review equations, by putting a large number of equations at ...

... 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 ... - build in set includes 120 array of **nonlinear** equations - powerful and easy to use - ...

... 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, ...

DataFit is a tool used to perform **nonlinear regression** (curve fitting), statistical analysis and data plotting. What sets DataFit apart from similar curve fitting and **regression** programs is its ease of use. DataFit is ... clipboard. With DataFit, you can perform linear or **nonlinear regression** on data containing up to 20 independent ...

... or cubic spline), statistics (mean, s.d., histograms, polynomial **regression**), column operations on stat data, polynomial roots, linear algebra (vector/matrix operations and systems of linear equations). Hard-to-find features: systems of non-linear and differential (ODE) equations, multi-argument function extremum search and point or histogram fitting with an arbitrary function. Most importantly, advanced ...

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 ...

... tool. FindGraph offers 12 generic fits, including linear **regression**, logistic functions, fourier approximation, rationals, neural networks, B-splines and parametric curves least squares approximations, plus a library of over 300 industry-specific 2D formulas. FindGraph uses the Levenberg - Marquardt non-linear algorithm and the Simplex algorithm to fit data. A built-in Wizard ...

The 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 ...

... Wilcoxon signed rank test, Mann Whitney U test. **Regression** analysis, including univariate linear **regression**, multivariate linear **regression**, linear curve fitting, **nonlinear** curve fitting, trend surface analysis, stepwise **regression** etc. Correlation analysis, including bivariate correlation analysis, partial ...

DataScene Lite is a data graphing and data analysis software package. It allows the user to easily plot brilliant 2D & 3D graphs (Area, Bar, Pie, Line, Surface, Polar, and more) with scientific, financial, and statistical data, to manipulate, print, and export high quality graphs, to analyze data with various mathematical ...

... can be modelled using a toolbox of linear **regression** models, **nonlinear regression** models, interpolation, or splines. Over 30 models are built-in, but custom **regression** models may also be defined by the user. ... easily. FEATURES: · Over 35 built-in **regression** models to choose from, along with over 15 ... you to input, design, and manage your own **regression** functions with up to 19 parameters · Toolbox ...

... can be modelled using a toolbox of linear **regression** models, **nonlinear regression** models, smoothing methods, or various kinds of splines. Over 60 models are built-in, but custom **regression** models may also be defined by the user. ... autoscaling, and view stack capability. Multivariate: linear and **nonlinear regression**s can be computed for datasets with multiple ...

... an application that was designed to solve constrained **nonlinear** parameter estimation problems. Synonyms are data fitting, **nonlinear regression**, parameter identification, curve and surface fitting. The numerical ... criteria depending on parameters to be estimated additional **nonlinear** equality or inequality constraints second independent model variable ... time values 3,000 experimental data 200 linear or **nonlinear** constraints - limited by size of internal working ...

... your data, not fight with your software **Nonlinear regression** is an important tool in analyzing data, but ... · Normality testing by three methods. · Robust **nonlinear regression**. · Automatic outlier identification or elimination. · Compare ...

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