计数数据回归分析:概念、过分散检测、零膨胀识别及其应用

Q2 Social Sciences

Practical Assessment, Research and Evaluation Pub Date : 2021-01-01 DOI:10.7275/44NN-CJ68

Luiz Paulo Fávero, R. F. Souza, P. Belfiore, H. Corrêa, M. Haddad

引用次数: 5

摘要

推荐引文Fávero, Luiz Paulo;拉斐尔·德·弗雷塔斯;Belfiore,帕特丽夏;Corrêa，汉密尔顿·路易斯;米歇尔·f·c·哈达德(2021)“计数数据回归分析:概念、过度分散检测、零膨胀识别及其应用”，《实用评估、研究与评价》，第26卷，第13条。DOI: https://doi.org/10.7275/44nn-cj68可在:https://scholarworks.umass.edu/pare/vol26/iss1/13

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Count Data Regression Analysis: Concepts, Overdispersion Detection, Zero-inflation Identification, and Applications with R

Recommended Citation Fávero, Luiz Paulo; Souza, Rafael de Freitas; Belfiore, Patrícia; Corrêa, Hamilton Luiz; and Haddad, Michel F. C. (2021) "Count Data Regression Analysis: Concepts, Overdispersion Detection, Zero-inflation Identification, and Applications with R," Practical Assessment, Research, and Evaluation: Vol. 26 , Article 13. DOI: https://doi.org/10.7275/44nn-cj68 Available at: https://scholarworks.umass.edu/pare/vol26/iss1/13

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来源期刊

Practical Assessment, Research and Evaluation Social Sciences-Education

CiteScore

2.60

自引率

0.00%

发文量