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Applications of bootstrap methods for categorical data analysis

✍ Scribed by Myoungshic Jhun; Hyeong-Chul Jeong

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
127 KB
Volume
35
Category
Article
ISSN
0167-9473

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✦ Synopsis

Simultaneous conΓΏdence regions for proportions of a single multinomial population, and for a ΓΏnite number of contrasts from several multinomial populations are proposed. In this paper bootstrap methods are used to construct conΓΏdence regions. We compare the performance of bootstrap methods with other methods in terms of average coverage probability by Monte Carlo simulation. Advantages of the bootstrap methods are discussed.

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