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Data Analysis Using Regression and Multilevel/Hierarchical Models 2025 pdf epub mobi 電子書下載

Data Analysis Using Regression and Multilevel/Hierarchical Models

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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/

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發表於2025-02-02

Data Analysis Using Regression and Multilevel/Hierarchical Models 2025 pdf epub mobi 電子書下載

Data Analysis Using Regression and Multilevel/Hierarchical Models 2025 pdf epub mobi 電子書下載

Data Analysis Using Regression and Multilevel/Hierarchical Models 2025 pdf epub mobi 電子書下載

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Data Analysis Using Regression and Multilevel/Hierarchical Models pdf epub mobi 讀後感

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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. >-<

評分☆☆☆☆☆

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. >-<

評分☆☆☆☆☆

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. >-<

評分☆☆☆☆☆

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. >-<

評分☆☆☆☆☆

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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出版者:Cambridge University Press

作者:Andrew Gelman

出品人:

頁數:648

譯者:

出版時間:2006-12-18

價格:USD 69.99

裝幀:Paperback

isbn號碼:9780521686891

叢書系列:Analytical Methods for Social Research

圖書標籤: 統計數學 R 模型 statistics 統計學機器學習分析

Data Analysis Using Regression and Multilevel/Hierarchical Models 2025 pdf epub mobi 電子書下載

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Data Analysis Using Regression and Multilevel/Hierarchical Models pdf epub mobi 用戶評價

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Gelman還有本Bayesian Data Anlaysis也是領域標杆

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有點難讀啊。。沒有 Trochim寫的書通俗易懂

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PS 733: Maximum Likelihood Estimation

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#讀瞭停不下來的數學書# 非常係統，從single-level regression講起，中間是multilevel regression，最後又討論瞭data collection, model understanding, model checking。深入淺齣，書中很多例子幫助理解。細讀還可以發現一些 tips & tricks。就算不用Bugs and R，也非常值得一讀，可以不用理會那些 code。

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PS 733: Maximum Likelihood Estimation

Data Analysis Using Regression and Multilevel/Hierarchical Models 2025 pdf epub mobi 電子書下載

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