Now showing items 1-5 of 5
A Survey of Certain K-Sample Test Procedures with Applications to LPR-5 Data
(University of Texas at Arlington, 1979-07)
When dealing with k independent samples, it is frequently of interest to jointly assess the underlying population distributions. Usually such an assessment is carried out by performing k independent tests; that is, we ...
Methodology for Testing Homogeneity of Variances
(University of Texas at Arlington, 1979-02)
Suppose random samples are drawn from each of n populations with unknown means and variances. Developing procedures to test the claim that the population variances are equal (homogeneity of variances) has frequently been ...
On the Determination of Critical Values for Bartlett's Test
(University of Texas at Arlington, 1979-06)
The exact critical values for Bartlett's test for homogeneity of variances based on equal sample sizes from several normal populations are tabulated. It is also shown how these values may be used to obtain highly accurate ...
On the Comparison of Estimators in a Rectangular Distribution
(University of Texas at Arlington, 1979-01)
Given two estimators ^1 and ^2 of an unknown parameter ^, Pitman (1937) has suggested calling ^1 a "closer" estimator of ^ than is ^2 if [see pdf for notations] for all values of ^. Using this "closeness" criterion, Johnson ...
A Monte Carlo Power Study of k-Sample Tests for Exponentiality
(University of Texas at Arlington, 1979-12)
Suppose one has a collection of k independent samples where the ith sample size is [see pdf for notation]. Let [see pdf for notation] denote the ordered observations in the ith sample. A number of test procedures are ...