Regression Models for Categorical and Limited Dependent Variables 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Regression Models for Categorical and Limited Dependent Variables

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J. Scott Long 作者
SAGE Publications, Inc
译者
1997-1-9 出版日期
328 页数
USD 112.00 价格
Hardcover
丛书系列
9780803973749 图书编码

Regression Models for Categorical and Limited Dependent Variables 在线电子书 图书标签: 统计学  计量分析  statistics  美国  methodology  定量研究  定量  E   


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Regression Models for Categorical and Limited Dependent Variables 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Regression Models for Categorical and Limited Dependent Variables 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Regression Models for Categorical and Limited Dependent Variables 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Regression Models for Categorical and Limited Dependent Variables 在线电子书 图书描述

A unified treatment of the most useful models for categorical and limited dependent variables (CLDVs) is provided in this book. Throughout, the links among the models are made explicit, and common methods of derivation, interpretation and testing are applied. In addition, the author explains how models relate to linear regression models whenever possible. After a review of the linear regression model and an introduction to maximum likelihood estimation, the book then: covers the logit and probit models for binary outcomes; reviews standard statistical tests associated with maximum likelihood estimation; and considers a variety of measures for assessing the fit of a model. J Scott Long also: extends the binary logit and probit models to ordered outcomes; presents the multinomial and conditioned logit models for nominal outcomes; considers models with censored and truncated dependent variables with a focus on the tobit model; describes models for sample selection bias; presents models for count outcomes by beginning with the Poisson regression model; and compares the models from earlier chapters, discussing the links between these models and others not discussed in the book.

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