Regression analysis - CurveFitter 1.1

CurveFitter program 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".

See also: curvefitter, statistical, regression, analysis, parameters, linear, multivariate, polynomial, exponential, nonlinear, function, complex, data, value, curve, fitting, equation, model, polynomial, rational, math, emulator, capability, range, non-linear, graphing, graph, plotting

The Unscrambler 9.6

The UnscramblerŽ helps you discover patterns and relationships in your data that traditional statistical methods and visual inspection cannot reveal. The Unscrambler`s Multivariate Curve Resolution (MCR), Derivatives, Principal Components Analysis (PCA), PLSR Analysis, and Experimental Design capabilities are unparalleled. Readers of Scientific Computing cited it as one of the Top Five products in terms of ease of use and visualization.

See also: statistics, data analysis, multivariate, statistical, chemometrics, spectroscopy, spc, regression analysis, multivariate curve resolution, operations management, statistical process control, plsr, design of experiments

DRS 2008

Least Cubic Method is a new method for data regression analyse , it expanded Least Square Method, According to the principle, this program can be 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.

See also: multivariate nonlinear data, data regression, regression analysis, data regression analysis, drs