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Data Analysis Using Regression and Multilevel/Hierarchical Models 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Data Analysis Using Regression and Multilevel/Hierarchical Models
☆☆☆☆☆
简体网页||繁体网页
Andrew Gelman 作者
Cambridge University Press
译者
2006-12-18 出版日期
648 页数
USD 69.99 价格
Paperback
Analytical Methods for Social Research 丛书系列
9780521686891 图书编码

Data Analysis Using Regression and Multilevel/Hierarchical Models 在线电子书 图书标签: 统计  数学  R  模型  statistics  统计学  机器学习  分析   

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发表于2024-06-26

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Data Analysis Using Regression and Multilevel/Hierarchical Models 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Data Analysis Using Regression and Multilevel/Hierarchical Models 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Data Analysis Using Regression and Multilevel/Hierarchical Models 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Data Analysis Using Regression and Multilevel/Hierarchical Models 在线电子书 用户评价

评分☆☆☆☆☆

有点难读啊。。没有 Trochim写的书通俗易懂

评分☆☆☆☆☆

Bedtime story. Read another chapter or make love?

评分☆☆☆☆☆

Andrew Gelman Regression Hierarchical Models

评分☆☆☆☆☆

有点难读啊。。没有 Trochim写的书通俗易懂

评分☆☆☆☆☆

Gelman还有本Bayesian Data Anlaysis也是领域标杆

Data Analysis Using Regression and Multilevel/Hierarchical Models 在线电子书 著者简介

Data Analysis Using Regression and Multilevel/Hierarchical Models 在线电子书 图书目录

Data Analysis Using Regression and Multilevel/Hierarchical Models 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Data Analysis Using Regression and Multilevel/Hierarchical Models 在线电子书 图书描述

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: http://www.stat.columbia.edu/~gelman/arm/

Data Analysis Using Regression and Multilevel/Hierarchical Models 在线电子书 下载 mobi epub pdf txt 在线电子书下载
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Data Analysis Using Regression and Multilevel/Hierarchical Models 在线电子书 读后感

评分☆☆☆☆☆

A very good guide for HLM. Yet it should be noted that HLM here is based upon Bayesian methods. For data from survey, WinBugs frequently fails. >-<

评分☆☆☆☆☆

A very good guide for HLM. Yet it should be noted that HLM here is based upon Bayesian methods. For data from survey, WinBugs frequently fails. >-<

评分☆☆☆☆☆

A very good guide for HLM. Yet it should be noted that HLM here is based upon Bayesian methods. For data from survey, WinBugs frequently fails. >-<

评分☆☆☆☆☆

A very good guide for HLM. Yet it should be noted that HLM here is based upon Bayesian methods. For data from survey, WinBugs frequently fails. >-<

评分☆☆☆☆☆

A very good guide for HLM. Yet it should be noted that HLM here is based upon Bayesian methods. For data from survey, WinBugs frequently fails. >-<

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