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Code Listing by Antonio Trujillo-Ortiz

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Comparision of simple linear regression equations without data. As well as the before file arsos.m this procedure is suffice to test the homogeneity of k regression coefficients (Ho: b1 = b2 =...= bk). It do not needs to input data, but the sample statistics as sample size, regression coefficients, means and variances. The variability among the regression coefficients requires the F-statistic. If the null hypothesis is rejected, it can...



The Anderson-Darling test (Anderson and Darling, 1952) is used to test if a sample of data comes from a specific distribution. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than the K-S test. The K-S...



This file computes a balanced incomplete block design [BIBD] analysis of variance. A BIBD is a set X of v >= 2 elements called treatments and a collection of b > 0 subsets of X, called blocks, such that the following conditions are...



Computes a single-factor analysis of variances test using only means and variances(without data). It can be a Model I or Model II for equal or unequal sample sizes. It nedds to imput the data matrix (size of matrix must be n-by-3; sample...



This m-file computes an approximate determination coefficient (R2) for prediction, say

R2pred = 1 - (PRESS/SST)

where PRESS = prediction error sum of squares, SST = total sum of squares.

This statistic gives some...



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.



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 file, as the Fisher's exact test, performs the 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...



Hotelling's T-Squared multivariate test for one sample, two independent samples [homoskedasticity or heteroskedasticity (to test)] and two dependent samples.



The Anderson-Darling test (Anderson and Darling, 1952) is used to test if a sample of data comes from a specific distribution. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than the K-S test. The K-S...