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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 제17권 제2호
- 발행연도
- 2015.1
- 수록면
- 613 - 622 (10page)
이용수
초록· 키워드
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This paper aims to propose a simple method for obtaining MLE for identity link Poisson regression models. In order to estimate parameters of the models, fully parameterized models are suggested. An iterative fitting algorithm is then proposed for estimating parameters of the models. Through suitable reparameterization of the parameters in the models, the estimates of parameters in identity link Poisson regression models can be obtained easily. Because the method does not consider the subsets of the parameter space, computational burden is less intensive than the other methods. An example and simulation results are given to evaluate the performance of the suggested method.
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참고문헌 (14)
참고문헌 신청
Agresti, A. / 2007 / An Introduction to Categorical Data Analysis / Willey
Benichou, J. / 2005 / Handbook of Epidemiology / Springer-Verlag : 89 ~ 156
Bishop, Y. M. M. / 1975 / Discrete Multivariate Analysis: Theory and Practice / MIT Press
Donoghoe, M. / / R package version. 1.2
Haberman, S. J. / 1974 / Log-linear models for frequency tables with ordered classification / Biometrics 30 : 589 ~ 600
Benichou, J. / 2005 / Handbook of Epidemiology / Springer-Verlag : 89 ~ 156
Bishop, Y. M. M. / 1975 / Discrete Multivariate Analysis: Theory and Practice / MIT Press
Donoghoe, M. / / R package version. 1.2
Haberman, S. J. / 1974 / Log-linear models for frequency tables with ordered classification / Biometrics 30 : 589 ~ 600
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