Non Parametric Statistics

CM3 processes model the spatio-temporal dependence structure for extreme values of functional data fields and M4 processes for discrete data fields. Given a dataset, this software estimates the length of the tail dependence, the number of patterns of extreme values and the patterns with their...

This file performs the Stuart-Maxwell's test for all the marginal homogeneity (i.e. across all the categories simultaneously) for each of the two sample times (nominal samples). Obviously, it need a square KxK table.It is a non-parametric statistical test. The test was proposed by Stuart (1955),...

Sometimes we need samples that come from a mixture of pdf's, where more than 1 peaks are observed. E.g. for analyzing goodness of a non-parametric kernel density estimation method.By using the Rejection method, this function generates random numbers from a mixture (average sum) of N normal...


Platforms: Matlab

The function tests given realization X of random process Xi(t) for stationary, using of the two non-parametric criterions - the criterion of inversion and the criterion of the series.


Platforms: Matlab

In order to run this m-file it is necessary to download the fractrimmeanfile you can find in the URL address:http://www.mathworks.com/matlabcentral/fil...53-fractrimmeanThe bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and...


Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their...


Platforms: Matlab

This file performs the Fisher exact probability test for a table of frequency data cross-classified according to two categorical variables, each of which has two levels or subcategories (2x2). It is a non-parametric statistical test used to determine if there are nonrandom associations between...


Platforms: Matlab

Lung Cancer Statistics - Learn more about the symptoms and treatments of non small cell lung cancer and small cell lung cancer at homepage


Platforms: Windows

Statistics::Gap Perl module is an adaptation of the Gap Statistic. SYNOPSIS use Statistics::Gap; $predictedk = &gap("prefix", "vec", INPUTMATRIX, "rbr", "h2", 30, 10, rep, 90, 4); OR use Statistics::Gap; $predictedk = &gap("prefix", "vec", INPUTMATRIX, "rbr", "h2", 30, 10, rep, 90, 4,...


Platforms: *nix

Free Statistics records and views daily Web site page views (hits) for statistical tracking. This is a Free PHP script to record and view daily website page views (hits) for statistical tracking. Features a chart of daily page views totals displayed with bar graph, total for last x days, most...


Platforms: *nix

Statistics::LineFit module least squares line fit, weighted or unweighted. SYNOPSIS use Statistics::LineFit; $lineFit = Statistics::LineFit->new(); $lineFit->setData (@xValues, @yValues) or die "Invalid data"; ($intercept, $slope) = $lineFit->coefficients(); defined $intercept or die...


Platforms: *nix

Statistics::SDT Perl package contains signal detection theory measures of sensitivity and response-bias. SYNOPSIS use Statistics::SDT; $sdt = Statistics::SDT->new( { hits => 50, signal_trials => 50, false_alarms => 17, noise_trials => 25, correct => 2, } ); $d =...


Platforms: *nix

ActiveStat - web statistics marketing tool to track and analyse site visits, marketing research, visit tracking software, statistics analyser


Platforms: OS/2, Windows, Mac, *nix, Windows CE

Calculate tedious and difficult Statistics and Discrete Mathematics formulas accurately, quickly, and with ease! Combinatorics (permutations and combinations, etc.), probabilities, expected values, confidence intervals, data analysis, hypothesis testing and more. Statistics Pro does more...


Platforms: Windows, Mac

Statistics::Forecast is a Perl module that calculates a future value. This is a dummy Oriented Object module that calculates a future value by using existing values. The new value is calculated by using linear regression. SYNOPSIS use Statistics::Forecast; Create forecast object my...


Platforms: *nix

Statistics::RankOrder contains algorithms for determining overall rankings from a panel of judges. SYNOPSIS use Statistics::RankOrder; my $r = Statistics::RankOrder->new(); $r->add_judge( [qw( A B C )] ); $r->add_judge( [qw( A C B )] ); $r->add_judge( [qw( B A C )] ); my %ranks =...


Platforms: *nix

Statistics::Descriptive is a Perl module of basic descriptive statistical functions. SYNOPSIS use Statistics::Descriptive; $stat = Statistics::Descriptive::Full->new(); $stat->add_data(1,2,3,4); $mean = $stat->mean(); $var = $stat->variance(); $tm = $stat->trimmed_mean(.25);...


Platforms: *nix

Statistics::ChiSquare - How well-distributed is your data? SYNOPSIS use Statistics::Chisquare; print chisquare(@array_of_numbers); Statistics::ChiSquare is available at a CPAN site near you. Suppose you flip a coin 100 times, and it turns up heads 70 times. Is the coin fair? Suppose...


Platforms: *nix

Statistics::SPC is a Perl module with calculations for Stastical Process Control (SPC). Creates thresholds based on the variability of all data, # of samples not meeting spec, and variablity within sample sets, all from training data. Note: this is only accurate for data which is normally...


Platforms: *nix

Statistics::Smoothing::SGT is a Simple Good-Turing (SGT) smoothing implementation. SYNOPSIS Basic Usage use Statistics::Smoothing::SGT my $sgt = new Statistics::Smoothing::SGT($frequencyClasses, $total); $sgt->calculateValues(); $probabilities = $sgt->getProbabilities(); $newFrequencies...


Platforms: *nix