000 | 02336pam a2200277 a 4500 | ||
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003 | NhCcYBP | ||
005 | 20240906143522.0 | ||
008 | 101202s2011 enka b 001 0 eng | ||
020 | _a9780521198158 (hardback) | ||
020 | _a0521198151 (hardback) | ||
041 | _aEnglish | ||
042 | _apcc | ||
082 |
_a519.24 _bHIL |
||
090 |
_aQA161 _bBin.Hi 2011 |
||
100 | 1 | _aHilbe, Joseph. | |
245 | 1 | 0 |
_aNegative binomial regression / _cJoseph M. Hilbe. |
250 | _a2nd ed. | ||
260 |
_aCambridge, UK ; _aNew York : _bCambridge University Press, _c2011. |
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300 |
_axviii, 553 p. : _bill. ; _c24 cm. |
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504 | _aIncludes bibliographical references and index. | ||
505 | _tThe concept of risk Overview of count response models Methods of estimation Assessment of count models Poisson regression Overdispersion Negative binomial regression Negative binomial regression: modeling Alternative variance parameterizations Problems with zero counts Censored and truncated count models Handling endogeneity and latent class models Count panel models Bayesian negative binomial models Appendix A. Constructing and interpreting interactions terms Appendix B. Data sets, commands, functions | ||
520 | _a"This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with examples of their construction, application, interpretation, and evaluation. Complete Stata and R code are provided throughout the text, with additional code (plus SAS), derivations, and data provided on the book's website. Written for the practicing researcher, the text begins with an examination of risk and rate ratios, and of the estimating algorithms used to model count data. The book then gives an in-depth analysis of Poisson regression and an evaluation of the meaning and nature of overdispersion, followed by a comprehensive analysis of the negative binomial distribution and of its parameterizations into various models for evaluating count data"-- | ||
650 | 0 | _aNegative binomial distribution. | |
650 | 0 | _aPoisson algebras. | |
942 |
_2ddc _cBOOKS |
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999 |
_c43472 _d43472 |