An Improved Goodness-of-Fit Statistic for Sparse Multinomials
DOI: 10.1080/01621459.1985.10478167
关键词: Test statistic 、 Mathematics 、 F-test 、 Ancillary statistic 、 Sufficient statistic 、 Statistics 、 Likelihood-ratio test 、 Null distribution 、 Pearson's chi-squared test 、 Statistic
摘要: Abstract A new goodness-of-fit statistic for sparse multinomials is proposed. It assumed that the null distribution exhibits smoothness. The test based on maximum posterior estimator probability estimates of Simonoff (1983). Computer simulations are used to estimate distribution, significance levels, and power function test. shown a great improvement over standard tests if alternative
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