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                                       Details for article 10 of 17 found articles
 
 
  Improved likelihood ratio tests and pearson chi-square tests for independence in two dimensional contingency tables
 
 
Title: Improved likelihood ratio tests and pearson chi-square tests for independence in two dimensional contingency tables
Author: Hosmane, B.S.
Appeared in: Communications in statistics
Paging: Volume 15 (1986) nr. 6 pages 1875-1888
Year: 1986
Contents: When an I×J contingency table has many cells having very small frequencies, the usual chi-square approximation to the upper tail of the likelihood ratio goodness-of-fit statistic, G2 and Pearson chi-square statistic, X2, for testing independence, are not satisfactory. In this paper we consider the problem of adjusting G2 and X2. Suitable adjustments are suggested on the basis of analytical investigation of asymptotic bias terms for G2 and X2. A Monte Carlo simulation is performed for several tables to assess the adjustments of G2 and X2 in order to obtain a closer approximation to the nominal level of significance.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 10 of 17 found articles
 
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