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WebCab Probability and Stat for Delphi 3.6
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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, basic, standard, discrete, websphere, regression, linear, statistics, probability, java, hypothesis, distributions, weblogic
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, basic, standard, discrete, regression, linear, statistics, probability, java, hypothesis, distributions, class libraries, correlation
A set of mathematical tools, for scientists, engineers and students. Perform symbolic algebra: simplify expressions, differentiate them, integrate them and see how the result was obtained. Factorise polynomials, multiply and divide them, find their GCDs. Solve linear and non-linear equations, minimise an expression. Least squares fit (5 methods). Evaluate math expressions with variables. Complex numbers. Log results. 38 digit precision.
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
A set of mathematical tools, for scientists, engineers and students. Perform symbolic algebra: simplify expressions, differentiate them, integrate them and see how the result was obtained. Factorise polynomials, multiply and divide them, find their GCDs. Solve linear and non-linear equations, minimise an expression. Least squares fit (5 methods). Evaluate math expressions with variables. Complex numbers. Log results. 38 digit precision.
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
regression programs is its ease of use. DataFit is driven by a well-designed graphical interface, so there are no complicated instructions to remember and no programs to write. Data entry is achieved through a standard spreadsheet interface, which supports ASCII and ODBC data source import, as well as cutting and pasting data from the clipboard. With DataFit, you can perform linear or nonlinear regression on data containing up to 20 independent variables
curve, math, statistics, regression, plotting, data, fitting, nonlinear, parameter, science, estimation
The selection of components to generate two dimensional Cartesian plots with: unlimited number of axis (secondary axis) manifold options for scaling, grids, legends, automatic scaling, automatic zooming, unlimited number of series, manifold line and point styles, calculated Regression Lines, Interpolation, Differential and Integral, supporting components for editing and styles selection
2d graph component, extended label component, integral, components, interpolation, 2d plot, extended edit component, non linear fit, polynomial regression, cartesian plot, differential, linear regression, delphi