Titlebook: Econometric Analysis of Count Data; Rainer Winkelmann Book 2008Latest edition Springer-Verlag Berlin Heidelberg 2008 Conditional Distribut

precede

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.

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使成波狀

COUCH

https://doi.org/10.1007/978-3-540-78389-3Conditional Distribution Models; Count Data; Count Variables; Econometric Modeling; calculus

Ergots

978-3-642-09640-2Springer-Verlag Berlin Heidelberg 2008

conceal

Rainer WinkelmannUp-to-date survey of econometric and statistical techniques.Presentation of theory as well as applications in economics, marketing, sociology.Includes supplementary material:

FLAGR

煤渣

Urban Art Maps in Cultural Context,ues . = 0, 1, 2, . . . without explicit upper limit. Regression analysis, narrowly defined, attempts to explain variation in the conditional mean of . with the help of variation in explanatory variables .. If the mean function is embedded in a probability distribution, one obtains a full conditional probability model of . given ..

Headstrong

The Dialectic of Art and Economy, which may stem from selective sampling or selective recording. The most common forms of sample selection arise from censoring and truncation. In the former case, the count dependent variable is observed only over a limited range, whereas in the latter case, certain observations are omitted entirely from the sample.

地牢

https://doi.org/10.1057/9780230554641e 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.