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Linear Regression

Rt-Plot 2.8.10.83

Rt-Plot 2.8.10.83: Rt-Plot is a tool to generate Cartesian X/Y-plots from scientific data. linear regression, polynomial, non linear regression,interpolation, smoothing, differential, integral, calculations can use statistical weights, error indicators at data points, function interpreter for calculating columns and non linear functions, graph fully customizable, secondary axis at top and right, twisted, log, exponential axis scaling, all distances colors styles can be varied, report fully customizable, built in word processor, including






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Linear Regression 1.00

Performs linear regression using the Least Squares method. Determines the regression coefficients, the generalized correlation coefficient and the standard error of estimate. Does multivariate regression. Displays 2D and 3D plots.

regression, statistics, math, interpolation, mathematics, science, approximation, engineering





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DataFitX 2.0

linearRegression and MultipleNonlinearRegression objects provide methods and procedures for defining regression models with up to 100 fitting parameters and performing nonlinear regression on data containing up to 50 independent variables. The CubicSpline object performs cubic spline interpolation on 2-dimensional data. These objects provide properties and methods that return results for the fitting parameters, as well as detailed statistical summaries

curve, math, statistics, regression, data, fitting, nonlinear, parameter, science, estimation



Regression Analysis - DataFitting 1.7.3: DataFitting performs regression analysis to estimate values of parameters.
Regression Analysis - DataFitting 1.7.3

linear and nonlinear regression analysis (i.e. curve fitting). DataFitting determines the values of parameters for an equation, whose form you specify, that cause the equation to best fit a set of data values. DataFitting can handle linear, polynomial, exponential, 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

function, regression, least squares, parsing, equation, data, curve fit, fitting, nonlinear, formula, datafitting, curve fitting, non linear



NLREG 6.2: NLREG performs nonlinear regression and curve fitting
NLREG 6.2

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 line and three dimensional surface plots can be generated.

surface fitting, nonlinear regression, modeling, regression, curve fitting



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UltimaCalc 3.0.645

linear, polynomial, multivariate). Another finds the minimum of a multi-variate expression. Others solve triangles, or find roots of polynomials up to tenth order, or solve simultaneous linear or non-linear equations. UltimaCalc includes logarithms to base 2, two-argument inverse tangent, greatest common divisor. Also floor and ceiling functions, absolute value, min, max, extract the fractional part of a number, find the value for which an expression

multivariate regression, standard deviation, polynomial roots, plot functions, roots of polynomials, simultaneous linear equations, algebra, navigation, nonlinear, algebraic graphing calculator, solve triangles, polynomial regression, linear regression



WebCab Probability and Stat for .NET 3.6: Statistics, Discrete Prob, Distributions, Hypo. testing, Correlation,Regression
WebCab Probability and Stat for .NET 3.6

Regression Module Allows the user to investigate relationships between two variables. These finding can be used to predict one variable from 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 This module assists in the development of applications that incorporate the Binomial, Poisson

testing, web service, standard, discrete, regression, linear, statistics, probability, hypothesis, distributions, class libraries, correlation, vb net


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