Statistic Forecat

Doornik-Hansen (1994) introduce a multivariate version of the univariate omnibus test for normality of Shenton and Bowman (1977), based on the transformed skewness and kurtosis. Due that the skewness and kurtosis are not independently distributed and the kurtosis approaches very slowly to...

Function JKNIFE computes values of user-defined scalar-, vector- or matrix-valued statistics in the original sample, and in n leave-one-out samples, where n is the number of rows in X. Addressing limitations of JACKKNIFE (Statistics Toolbox, v. 6), JKNIFE accepts 'fixed', i.e. non-resampled,...

Function PAGE computes the value of Page test statistic for layout matrix x, with subjects in rows and treatments in columns. Midranks are calculated with Matlab's TIEDRANKS.Function MCPAGE computes the value of Page test statistic for layout x and B random within-subject permutations of x,...


Platforms: Matlab

The skill score is a statistic similar to the Nash-Sutcliffe in that the closer to one the better the model prediction. This function interprets model predictability using residual error and observed variability in your data. A skill score of 1 means a perfect fit (don't we all wish). A skill...


Platforms: Matlab

From the covariance matrices (without data), groups size vector and a significance level (default = 0.05), the homogeneity covariance matrices are testing by the Box's M, it gives a Chi-square or F approximation in function of the groups sample-size.Outputs are the Box's M statistic,...


Platforms: Matlab

Add to Your statistic toolbox this functions:KolmCdf - Kolmogorov cumulative distribution function:F(x)=sum((-1)^n*exp(-2*n^2*x^2),n,-inf,inf);KolmPdf - Kolmogorov probability distribution function;KolmInv - Inverse of the Kolmogorov cumulative distribution function.


Platforms: Matlab

Brown-Forsythe's test is developed to estimate whether more than two groups are homoscedastic. In the Brown-Forsythe's test the data are transforming to yij = abs[xij - median(xj)] and uses the F distribution performing an one-way ANOVA using y as the dependent variable. The Brown-Frosythe...


Platforms: Matlab

Gives the p-value associated to the Cochran's statistics ratio of the largest S^2 to their total (max(S^2)/sum(S^2)). Function needs the Cochran's C statistic, the k variances and the v sample degrees of freedom.


Platforms: Matlab

kstest_2s_2d.m: function to do two-sample two-dimensional Kolmogorov-Smirnov testIt's similar to the MATLAB built-in funtion "kstest2" from Statistics Toolbox except that "kstest_2s_2d" deals with two-dimensional data.[H, pValue, KSstatistic] = kstest_2s_2d(x1, x2, alpha, tail);The function takes...


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

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

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

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

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

In the analysis of designed experiments, the Friedman test is the most common non-parametric test for complete block designs. The Durbin test is a nonparametric test for balanced incomplete designs that reduces to the Friedman test in the case of a complete block design.In a randomized block...


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

Fligner-Policello is a non-parametric test of two combined random variables with continuous cumulative distribution. It is a robust rank-order test of treatment effects for populations which assumes neither normality nor equal variances (Behrens-Fisher problem). It does one assumption, which is...


Platforms: Matlab

Features of navyism@log analyzer:- Several different counters that offer you the statistics of each page;- Statistic by hours, days, weeks, months, yearsm OS & Web-Browser, statistics for members, and more.


Platforms: PHP

Blog or Website Value Calculator is a plug-in that gives you a nice tidy widget to display your blog's current estimated value in dollars. This information is displayed to you and your visitors to demonstrate just how much hard work you have put into your blog - Why not show this cool statistic...


Platforms: PHP

This plugin displays a Guitar Hero statistic in your wordpress sidebar. It brings an own configuration page. Let's Rock'n'Roll!The display of the statistics is cached every so often. Please consider this release alpha status.Installation :This section describes how to install the plugin and get...


Platforms: PHP