... gamma, geometric, logistic, log-normal, negative binomial, normal (Gaussian), Poisson, Student's t, triangular, and Weibull distributions. Multiple linear regression. Basic hypothesis tests, such as z test, t-test, and F-test, with calculation of p-values, critical values, and confidence intervals. One-way and two-way analysis of variance (ANOVA) and analysis of variance with repeated ...

... points (a ball pivoting variant, marching cubes and poisson's reconstruction) o Subdivision surfaces (loop and butterfly) o ... reference space. o Merging of multiple meshes the Poisson surface reconstruction source code (kindly provided by by Michael Kazhdan and Matthew Bolitho) have been included in. * OpenGL Shader based rendering (write your ...

... points (a ball pivoting variant, marching cubes and poisson's reconstruction) o Subdivision surfaces (loop and butterfly) o ... reference space. o Merging of multiple meshes the Poisson surface reconstruction source code (kindly provided by by Michael Kazhdan and Matthew Bolitho) have been included in. * OpenGL Shader based rendering (write your ...

PoissonMax is a handy, small, command prompt based application specially designed to compute Poisson maximum likelihood mean frequency from limiting dilution data, with 95% confidence limits and Chi-square value. ...

This aims to supply an Embarcadero (formerly CodeGear/Borland) Delphi translation of Alan Miller's Random Module for FORTRAN-90. This translation has been done with Dr Miller's approval and is being made FREELY available to all Delphi Developers, though we do ask the Alan Miller and ESB Consultancy be given due credit. It ...

... (Lomax), Pearson 5 (Inverse Gamma), Pearson 6, Pert, Poisson, Power Function, Rayleigh, Reciprocal, Rice (Nakagami-n), Student's t, Triangular, Uniform, Wakeby, Weibull. ...

... of one variable with comparison T, Erlang and Poisson probability; conditional distribution depend on values of other parameters; two arguments distribution with 3D presentation or color map presentation; curve fitting with variety schemes to define modeling formula; peaks revealing with base line elimination and special emphasizing on mass chromatogram; 3D ...

... Fit Tests such as Binomial, Circular, Normal and Poisson, Simple and Multiple Linear Regression, Regression Comparison, Nonparametric Tests such as Friedman, Kruskal-Wallis and Mann-Whitney, Principal Component Analysis, Univariate and Multivariate t-Tests. statistiXL also produces a wide range of plots including Box and Whisker Plots, Scatter Plots, Clustering Dendrograms, Normal Probability ...

... all the combinations for you. Features include Binomial, Poisson, Hypergeometric, Normal, Exponential, Student t, Chi Squared, F, Beta and Lognormal Distributions; Inverses of Normal, Student t, Chi Squared, F, Beta and Lognormal Distributions; Lists of Binomial Coefficients, Factorials and Permutations; Calculations of Gamma and Beta Functions; Printing of Standard Normal ...

... model, General deterministic price model, Lognormal price model, Poisson price model. Volatility Models: Constant Volatility Models, General Deterministic Volatility model, Hull & White Stochastic model of the Variance, Hoston Stochastic Volatility model. Monte Carlo Princing Engine: Evaluate price estimate accordance to number of iterations or maximum expected error. Evaluate the ...

... Binomial, Normal, Pareto, Pert, Phased Bi-Exponential, Phased Bi-Weibull, Poisson, Power Function, Rayleigh, Student's t, Triangular, Uniform, Wakeby, Weibull. ...

... the development of applications that incorporate the Binomial, Poisson, Normal, Lognormal, Pareto, Uniform, Hypergeometric and Exponential probability distributions. The probability density function, cumulative distribution function and inverse, mean, variance, Skewness and Kurtosis are implemented where appropriate and/or their approximations for each distribution. We also offer methods which randomly generate numbers ...

... the development of applications that incorporate the Binomial, Poisson, Normal, Lognormal, Pareto, Uniform, Hypergeometric,Weibull and Exponential probability distributions. The PDF, CPDF and inverse, mean, variance, Skewness and Kurtosis, random number generators are implemented where appropriate and/or their approximations. Curve Fitting Module The Curve Fitting module offers procedures by which linear ...