| 期刊論文1. | Famoye, F.、Singh, K. P.(2006)。Zero-Inflated Generalized Poisson Regression Model with an Application to Domestic Violence Data。Journal of Data Science,4,117-130。 | 2. | Ghosh, S.、Gelfand, A. E.、Zhu, K.、Clark, J. S.(2018)。The k-ZIG: Flexible modeling for zero-inflated counts。Biometrics,68(3),878-885。 | 3. | Wilson, P.(2015)。The misuse of the Vuong test for non-nested models to test for zero-inflation。Economics Letters,127,51-53。 | 4. | Zeileis, A.、Kleiber, C.、Jackman, S.(2008)。Regression models for count data in R。Journal of Statistical Software,27(8),1-25。 | 5. | Vuong, Quang H.(1989)。Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses。Econometrica,57(2),307-333。 | 6. | Lambert, Diane(1992)。Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing。Technometrics,34(1),1-14。 | 研究報告1. | Greene, W. H.(1994)。Accounting for excess zeros and sample selection in poisson and negative binomial regression models。New York University Stern School of Business。 | 圖書1. | Cameron, A. C.、Trivedi, P. K.(1998)。Regression Analysis of Count Data。Cambridge University Press。 | 2. | Long, J. Scott(1997)。Regression Models for Categorical and Limited Dependent Variables。Sage Publications。 | 3. | R Core Team(2016)。R: A Language and Environment for Statistical Computing。Vienna:R Foundation for Statistical Computing。 | 4. | James, G.、Witten, D.、Hastie, T.、Tibshirani, R.(2013)。An introduction to statistical learning with Applications in R。New York, NY:Springer。 | 5. | Center for Behavioral Health Statistics and Quality(2017)。2016 National Survey on Drug Use and Health: Detailed tables。Rockville, MD:Substance Abuse and Mental Health Services Administration。 | 6. | Raykov, T.、Marcoulides, G. A.(2012)。Basic statistics。New York, NY:Rowman & Littlefield。 | 7. | Smithson, M.、Merkle, E. C.(2014)。Generalized linear models for categorical and continuous limited dependent variables。Boca Raton, FL:Taylor & Francis Group。 | 其他1. | Jackman, S.(2017)。pscl: Classes and methods for R developed in the political science computational laboratory,https://github.com/atahk/pscl/。 | |