arsoswod 1.0

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 proceeds with a Tukey's q multiple comparision test to determine which of the k slopes differ from which other. If the null hypothesis is not rejected, the file test through a F-statistic whether they have equal elevations. Also, if the null hypothesis is rejected, it can employ a Tukey's q multiple comparision to determine the location of significant differences among the elevations.It needs to input the X-sample statistics matrix (take care, the order must be:[n b1 x-mean y-mean x-variance y-variance]), and the alpha-significance level (default = 0.05).As output it is a complete table that summarizes the used statistics for the procedures and its corresponding results.

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Differ,  Differences,  Elevations,  Employ,  Equal,  Location,  Matrix,  Significant,  Slopes,  Xsample
Users rating:	0/10