... ungrouped dataset, one or two samples); 2) Treat non-similar data; 3) Determine propagated error (error propagation up ... of maps); 5) Execute math calculations (system of linear equations, roots of function, non-linear equation, ordinary differential equation - ODE up to ... data (x;y) from a 2D graph (digitizing); 7) Curve Fit (nonlinear regression - least squares method, Levenberg-Marquardt ...

FindGraph is comprehensive graphing, curve fitting, and digitizing tool. FindGraph offers 12 generic fits, including linear regression, logistic functions, fourier approximation, neural networks, B-splines and parametric curves least squares approximations, plus a library of over ... 2D formulas. Built-in Wizard helps to apply different curve fits to discover the model that best describes ...

"Easy CurveFit" is a very easy tool to fit curve. Only three steps you should do, and you'll get the fitting curve and the needed parameters. The models include linear and nonlinear. Regressions: 1. Linear Fit, y=a+bx; 2. Quadratic Fit, y=a+bx+cx^2; 3. Compound ...

... to analyze data with various mathematical methods (fitting curves, calculating statics, FFT, and more). DataScene Lite is ... methods: Cublic Spline, Moving Average, Integrate, Differentiate, FFT, Curve Fitting, and more. * Powerful math parser supporting various ...

... to analyze data with various mathematical methods (fitting curves, calculating statics, FFT, and more), to create graph ... methods: Cublic Spline, Moving Average, Integrate, Differentiate, FFT, Curve Fitting, etc. * Powerful math parser supporting various built-in ...

"Easy CurveFit" is a very easy tool to fit curve. Only three steps you should do, and you'll get the fitting curve and the needed parameters. The models include linear and nonlinear. Regressions: 1. Linear Fit, y=a+bx; 2. Quadratic Fit, y=a+bx+cx^2; ...

... the software offers some other functionality to do curve sketching, integration and statistics as well. Version 2 calculates with arbitrary precision. Free for students and schools. ...

Math tool for linear, nonlinear curve fitting and surface fitting. 1. Implement curve fitting and graphing of linear models and nonlinear models. 2. Implement surface fitting and graphing of any binary function models. 3. ... save graphs as bmp file. Math tool for linear, nonlinear curve fitting and surface fitting. 1. Implement ...

... - one-way ANOVA and two-way ANOVA. 7. Univariate linear regression and multivariate linear regression. 8. Linear curve fitting and nonlinear curve fitting. 9. Excel-like data editor is easy to use. ...

... is a powerful statistical analysis program that performs linear and nonlinear regression analysis (i.e. curve fitting). DataFitting determines the values of parameters for an ... a set of data values. DataFitting can handle linear, polynomial, exponential, and general nonlinear functions. DataFitting performs ... it does not transform the function into a linear form. As a result, it can handle functions ...

CurveFitter program performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions. The regression ... that you provide. This process is also called curve fitting. Fit thousands of data into your equations in seconds: Curvefitter gives scientists, researchers and engineers the power to ... set which can include a wide array of linear and nonlinear models for any application. Its state-of-the-art ...

... 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. ... from the clipboard. With DataFit, you can perform linear or nonlinear regression on data containing up to ... program that you have written. Macro capability allows curve fitting operations to be performed non-graphically, either in ...

Data Curve Fit Creator Add-in is an easy-to-use data analysis add-in for Microsoft Excel. It adds curve fitting, interpolation, and data smoothing functions to Excel. Curve fitting functions include polynomial fits and a versatile local regression (loess) function. Interpolations include linear, cubic spline, and a 'flexible spline' that allows ...

... 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 ... of functions and operators and unlimited number of fitting parameters. Examples for Excel, VB, Delphi, MSIE, Data ...

... Mean, Standard Deviation, Covariance, Population Covariance, Sum * Curve Fitting (Linear, Logarithmic, Exponential, and Power) * Support for 64-bit integer math with bitwise AND, OR, XOR, and NOT * Display and entry of integers ...

... Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression. Statistics Module The Statistics module incorporates evaluation ... the given values of other variables. We cover linear (Spearman's, t-test, z-transform) and rank (Spearman's, Kendall's) correlation, linear regression and conditional means. Standard Probability Distributions Module ... which randomly generate numbers from a given distribution. Curve Fitting Module The Curve Fitting module offers procedures ...

... Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML ... the given values of other variables. We cover linear (Spearman's, t-test, z-transform) and rank (Spearman's, Kendall's) correlation, linear regression and conditional means. Standard Probability Distributions Module ... generators are implemented where appropriate and/or their approximations. Curve Fitting Module The Curve Fitting module offers procedures ...