Chi Squared Independence

Text::NSP::Measures::2D::CHI::x2 is a Perl module that implements Pearsons chi squared measure of association for bigrams. SYNOPSIS Basic Usage use Text::NSP::Measures::2D::CHI::x2; my $npp = 60; my $n1p = 20; my $np1 = 20; my $n11 = 10; $x2_value = calculateStatistic( n11=>$n11,...

This script computes the Pearson???*a*?s Chi-Squared Statistic for a contingency table with m groups and n observations (m rows and n columns). For 2x2 tables the p-value, *log10 p-value, Bonferroni p-value and *log10 Bonferroni p-value are also computed.

ESBPDF Analysis provides everything needed for using Discrete and Continuous Probability Distributions in a single Windows application. Most Tables and supplied functions (such as in MS Excel) give P(X less than A) and using algebra other results can be found whereas ESBPDF Analysis is...


Platforms: Windows

This m-file performs the conditional as well as the Chi-squared corrected for discontinuity McNemar's exact test for two dependent (correlated) samples that can occur in matched-pair studies with a dichotomous (yes-no) response. Dependent samples can also occur when the same subject is measured...


Platforms: Matlab

Usage: [p, Q]= chi2test(x) The chi-squared test.Given a number of samples this function tests the hypothesis that the samples areindependent. If Q > chi2(p, nu), the hypothesis is rejected. Each column represents a variables, each row a sample. If you find any errors, please let me know: ....


Platforms: Matlab

3 goodnes of fit tests for thw Weibull: Anderson-Darling, Chi-squared and graphic


Platforms: Matlab

Cochran's C is a set of k Chi-squared distributed sums of squares (or the corresponding variances), each of v degrees of freedom. To accept at a significance level (alpha) that the maximum variance differ from the other ones, one should examine this function. It works for equal or unequal sample...


Platforms: Matlab

Statistics::ChisqIndep is a Perl module to perform chi-square test of independence (a.k.a. contingency tables). Synopsis #example for Statistics::ChisqIndep use strict; use Statistics::ChisqIndep; use POSIX; # input data in the form of the array of array references my @obs = ([15, 68,...


Platforms: *nix

EasyFit allows to easily and quickly select the probability distribution which best fits to data, reducing your analysis times by 70-95% over manual methods. It includes numerous features designed to save you time, prevent analysis errors, and help you make better decisions. An integrated...


Platforms: Windows

StatAssist displays graphs and related properties of more than 40 probability distributions. This application will save you time and prevent calculation errors if your work or study involves the use of continuous or discrete distributions. It allows to quickly select a distribution of interest,...


Platforms: Windows

SQLStatistics extends the T-SQL scripting environment so you can carry out statistical tests, calculate metrics and perform analyses on your data from within the database itself. This tends to be much faster and more efficient than transporting the data across the network to a client application,...


Platforms: Windows

Usage: [p, Q]= chi2bintest(x, n) The chi-squared binary test. Given a number of samples with a binary outcome ("is or is not something"),this function tests the hypothesis that the samples are independent.If Q > chi2(p, nu), the hypothesis is rejected. If x is a vector, each item is the result of...


Platforms: Matlab

Correspondence Analysis (CA) is a special case of Canonical Correlation Analysis (CCA), where one set of entries (categories rather than variables) is related to another set. Also, it can be seen as a special case of Principal Component Analysis (PCA), where it is used for tables consisting of...


Platforms: Matlab

Probability Analysis Software for Windows that provides an easy-to-use tool for using Discrete and Continuous Distributions, handling all the Probability Combinations for you. Features include Binomial, Poisson, Normal, Exponential, Student t, Chi Squared, F, Beta and Lognormal Distributions;...


Platforms: Windows

This aims to supply a 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....


Platforms: Windows

gjrand is a programmer's library for pseudo-random numbers. gjrand library includes random number generator testing code and is intended for simulation, games, and "Monte-Carlo" algorithms. It produces pseudo-random numbers of the types: uniform integers, uniform reals, normally distributed...


Platforms: Mac

Statistics::Distributions is a Perl module for calculating critical values and upper probabilities of common statistical distributions. SYNOPSIS use Statistics::Distributions; $chis=Statistics::Distributions::chisqrdistr (2,.05); print "Chi-squared-crit (2 degrees of freedom, 95th...


Platforms: *nix

It is well known that many multivariate statistical procedures call upon the assumption of multivariate normality (MVN). At least 50 different procedures have been proposed for this problem. Unfortunately, different conclusions about the MVN of a data set can be reached by different procedures...


Platforms: Matlab

The D'Agostino-Pearson's K2 test is used to assessing normality of data using skewness and kurtosis. It approximates to the chi-squared distribution.File needs to input the data vector and significance level (default = 0.05).It outputs whether or not the normality is met.


Platforms: Matlab

Canonical discriminant analysis is a dimension-reduction technique related to principal component analysis and canonical correlation called canonical discriminant analysis. It derives the canonical coefficients parallels that of one-way MANOVA and it finds linear combinations of the quantitative...


Platforms: Matlab