Statistics

Performs fuzzy relational clustering using the frecca algorithm. in matlab

The following Matlab project contains the source code and Matlab examples used for performs fuzzy relational clustering using the frecca algorithm. . Performs fuzzy relational clustering using the FRECCA algorithm. See Skabar, A. and Abdalgader, K. (2013) "Clustering sentence-level text using a novel fuzzy relational clustering algorithm". IEEE Transactions on Knowledge and Data Engineering, 25(1), 62-75.

Tukey's test of additivity for a two-way classification analysis of variance. in matlab

The following Matlab project contains the source code and Matlab examples used for tukey's test of additivity for a two-way classification analysis of variance. . Tukey's test of additivity for a two-way analysis of variance design with replication (can be equal or unequal sample sizes) or without replication.

Power estimation of a performed z test about mean(s). in matlab

The following Matlab project contains the source code and Matlab examples used for power estimation of a performed z test about mean(s). . Estimates the statistical power of a performed Z test about mean(s). It recalls you the statistical result of the test you should have arrived. It only needs the Z statistic, specified direction and significance level (default = 0.05).

Computes a two-way multivariate analysis of variance for equal or unequal sample sizes. in matlab

The following Matlab project contains the source code and Matlab examples used for computes a two-way multivariate analysis of variance for equal or unequal sample sizes. . Computing of a two-way multivariate analysis of variance for equal or unequal sample sizes by the testing of the mean differences in several variables among several samples with two factors.

Robust experimental designs for generalized linear models in matlab

The following Matlab project contains the source code and Matlab examples used for robust experimental designs for generalized linear models. Optimal experimental designs for generalized linear models (GLM) depend on the unknown coefficients, and two experiments having the same model but different coefficient values will typically have different optimal designs.

Upper percentiles squared mahalanobis distance critical value for test of single multivariate normal in matlab

The following Matlab project contains the source code and Matlab examples used for upper percentiles squared mahalanobis distance critical value for test of single multivariate normal . From the method given by Wilks (1963) and approaching to a F distribution function by the Yang and Lee (1987) formulation, we provide an m-file to get the critical value of the maximun squared Mahalanobis distance to detect outliers from a normal multivariate sample.

Anderson-darling k-sample procedure to test whether k sampled populations are identical. in matlab

The following Matlab project contains the source code and Matlab examples used for anderson-darling k-sample procedure to test whether k sampled populations are identical. . 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.

Compute the anova for repeated measures and holm-sidak test for multiple comparisons if anova is pos in matlab

The following Matlab project contains the source code and Matlab examples used for compute the anova for repeated measures and holm-sidak test for multiple comparisons if anova is pos . This function executes the analysis of variance when subjects underwent several treatments.

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