找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

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

[复制链接]
楼主: Weber-test
发表于 2025-3-25 06:39:58 | 显示全部楼层
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 ..
发表于 2025-3-25 07:37:47 | 显示全部楼层
发表于 2025-3-25 14:59:50 | 显示全部楼层
https://doi.org/10.1007/978-3-540-24728-9Conditional Distribution Models; Count Variables; Econometric Modeling; calculus; count data; demography;
发表于 2025-3-25 16:55:42 | 显示全部楼层
发表于 2025-3-25 20:46:47 | 显示全部楼层
发表于 2025-3-26 00:24:27 | 显示全部楼层
发表于 2025-3-26 07:26:07 | 显示全部楼层
,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
发表于 2025-3-26 09:56:23 | 显示全部楼层
,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
发表于 2025-3-26 13:33:57 | 显示全部楼层
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.
发表于 2025-3-26 17:24:50 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-15 03:29
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表