Goodness Of Fit

GFIT2 Computes goodness of fit for regression model USAGE: [gf] = gfit2(t,y) [gf] = gfit2(t,y,gFitMeasure) [gf] = gfit2(t,y,gFitMeasure,options) INPUT: t: matrix or vector of target values for regression model y: matrix or vector of output from regression model. gFitMeasure: a string or cell...

Included in the submitted file:Jan Beran's goodness of fit test for ARFIMA(p,d,q) processes, which is the spectral domain equivalent of the Ljung-Box statistics.Can be used for model validation or model selection (eg.comparing the goodness of fit of an ARFIMA(1,d,0) vs. an ARFIMA(5,0,0)...

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

This program is based on the method published by O'Reilly & Rueda (see program for more details for reference). Confidence level (i.e. alpha value) is chosen,and if the number of AD test stats > critical value exceeds alpha, H0 is rejected.The program requires 3 input files:2 of these files are...


Platforms: Matlab

MISFITS is a program to evaluate the goodness of fit of a model to an alignment in phylogeny reconstruction. It offers a look back at the alignment to pinpoint to site patterns that do not fit to the model and the resulting tree (thereafter referred to as the tree-model). MISFITS then introduces...


Platforms: Mac

[coef, RSquared]=plotfit(x,y,polyorder)A simple function that accepts x,y data pairs in in the vectors "x" and "y", fits it to a polynomial of order "polyorder", plots the data and the fit, and displays the fit coefficients and the goodness-of-fit measure R-squared in the upper left corner of the...


Platforms: Matlab

Anderson and Darling (1952, 1954) introduced a goodness-of-fit statistic to test the hypothesis that a random sample comes from a continuous population with a specified distribution function. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than the K-S...


Platforms: Matlab

Single sample Smirnov-Cramer-Von Mises goodness-of-fit hypothesis test.H = MTEST(X,ALPHA) performs the particular case of Smirnov-Cramer-Von Mises test to determine whether the null hypothesis of composite normality CDF is a reasonable assumption regarding the population distribution of a random...


Platforms: Matlab

Single Sample Kupier Goodness-Of-Fit Hypothesis Test. Similar to Kolmogorov-Smirnov (K-S) test, but (K-S) test tend to be most sensitive around median value of the distribution and less sensitive at the distribution tails.Doesn't require any Toolbox.Find if the random sample X could have the...


Platforms: Matlab

CHI2RAYLTEST: Single sample Pearson Chi Square goodness-of-fit statistical test to examine a null hypothesis of Rayleigh Channel.H=CHI2RAYLTEST(X,ALPHA) performs the particular case of Pearson Chi Squaretest to determine whether the null hypothesis of a Rayleigh channel realization is a...


Platforms: Matlab

GTEST: Single sample Geary goodness-of-fit hypothesis test.H=GTEST(X,ALPHA) performs the Geary test to determine whether the null hypothesis of composite normality PDF is a reasonable assumption regarding the population distribution of a random sample X with the desired significance level ALPHA.H...


Platforms: Matlab

CHI2TEST: Single sample Pearson Chi Square goodness-of-fit hypothesis test.H=CHI2TEST(X,ALPHA) performs the particular case of Pearson Chi Square test to determine whether the null hypothesis of composite normality PDF is a reasonable assumption regarding the population distribution of a random...


Platforms: Matlab

PDL::Fit::LM is a Levenber-Marquardt fitting routine for PDL. Currently, only Levenberg-Marquardt fitting is implemented. Other procedures should be added as required. For a fairly concise overview on fitting see Numerical Recipes, chapter 15 "Modeling of data". SYNOPSIS use PDL::Fit::LM;...


Platforms: *nix

Measures of Analysis of Time Series (MATS) toolkit computes a number of different measures of analysis of scalar time series (linear, nonlinear and other statistical measures). It also contains pre-processing tools (transformations and standardizations), data splitting facility, resampled data...


Platforms: Matlab

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


Platforms: Matlab

The idea is to give more emphasis in some examples of data as compared toothers by giving more weight. For example, we could give lower weights tothe outliers. The motivation to write this function is to compute percentilesfor Monte Carlo simulations where some simulations are very bad (in terms...


Platforms: Matlab

The Drupal WaveBot is originally designed to hack into the bot module, to bring the goodness of IRC and Drupal to Google Wave.It provides a modular (read: hooks) system for having code on a Drupal site interact with a Wave via a robot (sending information from Drupal to Wave).See Wave for more...


Platforms: PHP

statistiXL is a powerful data analysis package that runs as an add-in to Windows versions of Microsoft Excel. statistiXL has been entirely designed and written by scientists in order to meet the demanding needs of anyone requiring access to a robust, versatile statistical analysis package that is...


Platforms: Windows

FITpro for Eclipse allows easier creation of FIT tests and suites, more flexible test execution, and more.. Get FITpro - Acceptance Test Solutions at SourceForge.net. Fast, secure and free downloads from the largest Open Source applications and software directory. FITpro is built upon the...


Platforms: *nix

Calculates three indices of factorial invariance: the coefficient of congruence, a chi-square goodness of fit test, and Cattell's Salient Variable Similarity Index.


Platforms: Mac