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Titlebook: Econometric Analysis of Count Data; Rainer Winkelmann Book 20034th edition Springer-Verlag Berlin Heidelberg 2003 Conditional Distribution

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樓主: Weber-test
21#
發(fā)表于 2025-3-25 06:39:58 | 只看該作者
Bruno Meeus,Bas van Heur,Karel Arnautcit upper limit. Regression analysis, narrowly defined, attempts to explain variations in the conditional expectation of . with the help of variation in explanatory variables .. Regression analysis, more broadly defined and as used in this book, refers to the estimation of conditional distribution functions of . given ..
22#
發(fā)表于 2025-3-25 07:37:47 | 只看該作者
23#
發(fā)表于 2025-3-25 14:59:50 | 只看該作者
https://doi.org/10.1007/978-3-540-24728-9Conditional Distribution Models; Count Variables; Econometric Modeling; calculus; count data; demography;
24#
發(fā)表于 2025-3-25 16:55:42 | 只看該作者
25#
發(fā)表于 2025-3-25 20:46:47 | 只看該作者
26#
發(fā)表于 2025-3-26 00:24:27 | 只看該作者
27#
發(fā)表于 2025-3-26 07:26:07 | 只看該作者
,Econometric Modeling — Basic Issues,ntinuous data. Early references in econometrics include Gilbert (1982), Hausman, Hall and Griliches (1984), and Cameron and Trivedi (1986). Since then, both methodological contributions and applications of existing methods have proliferated (see also Cameron and Trivedi, 1998). A comprehensive accou
28#
發(fā)表于 2025-3-26 09:56:23 | 只看該作者
,Econometric Modeling — Extensions,veness of the Poisson specification. Most of these models can be classified depending on the particular problem they address as models for unobserved heterogeneity or as models for selectivity. Unobserved heterogeneity reflects a lack of observability of independent variables, whereas selectivity re
29#
發(fā)表于 2025-3-26 13:33:57 | 只看該作者
Correlated Count Data,e count. The modeling of the correlation structure is important for the efficiency of the estimator and the computation of correct standard errors, i.e., valid inference. Beyond that, the nature of the stochastic interaction between several counts may be of independent and intrinsic interest.
30#
發(fā)表于 2025-3-26 17:24:50 | 只看該作者
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