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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제21권 제6호
- 발행연도
- 2019.1
- 수록면
- 2,737 - 2,749 (13page)
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초록· 키워드
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In analyzing counts data we sometimes encounter excessive zeros than that can be expected under Poisson distributional assumption. For this kind of data we are to model by an alternative counts distribution such as the zero-inflated Poisson distribution. There have been many tests for zero-inflated distribution against the Poisson distribution; the score test, the likelihood ratio test, and the Vuong test. Each of these tests has some limitation in applying under the nonstandard conditions of boundary constraints and non-nested relationships between models. Some researches suggested the weighted sum of independent chi-squared random variables as an asymptotic distribution of the likelihood ratio test but it is not fully studied in the case of non-nested models, in which the Vuong test can generally be used to compare two competing models. We are purposed to recommend an appropriate testing procedure that performs well in both of level controls and higher powers when we are to compare the ordinary Poisson versus zero-inflated Poisson models. We conduct an empirical study to compare the tests for zero-inflated Poisson regression in respect of powers and level controls based on the different asymptotic distributions.
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참고문헌 (18)
참고문헌 신청
Akaike, H. / 1973 / Information theory and an extension of the likelihood ratio principle / Proceedings of the Second International Symposium on Information Theory :257~281
백유민 / 2017 / 영과잉 계수형 자료 분석을 위한 허들 나무모형 구축 / Journal of The Korean Data Analysis Society 19(4):1831~1840
Chen, Y. / 2018 / A conditional composite likelihood ratio test with boundary constraints / Biometrika 105(1):225~232
Chen, Y. / 2010 / On the asymptotic behaviour of the pseudolikelihood ratio test statistics with boundary problems / Biometrika 97(3):603~620
Dempster, A. P. / 1977 / Maximum likelihood estimation from incomplete data via EM algorithm (with discussion) / Journal of the Royal Statistical Society, Series B 39:1~38
백유민 / 2017 / 영과잉 계수형 자료 분석을 위한 허들 나무모형 구축 / Journal of The Korean Data Analysis Society 19(4):1831~1840
Chen, Y. / 2018 / A conditional composite likelihood ratio test with boundary constraints / Biometrika 105(1):225~232
Chen, Y. / 2010 / On the asymptotic behaviour of the pseudolikelihood ratio test statistics with boundary problems / Biometrika 97(3):603~620
Dempster, A. P. / 1977 / Maximum likelihood estimation from incomplete data via EM algorithm (with discussion) / Journal of the Royal Statistical Society, Series B 39:1~38
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