Improving Tests for Discrete Small Sample Data

Improving Tests for Discrete Small Sample Data
English | 2026 | ISBN: 9819553008 | 131 Pages | PDF EPUB (True) | 8 MB
This book provides a guide for improving test statistics that are based on phi-divergence for discrete models, which include various kinds of independence models of contingency tables as well as generalized linear models of binary data. The improvements are based on the theory of asymptotic expansion and lead to correct conclusions of a test even when sample sizes are not large. Without such an improvement, there is a risk that the results of a test will lead to the opposite conclusion, as a limiting distribution is used for an approximated distribution of test statistics.