Data Analysis Using Regression and Multilevel/Hierarchical Models pdf epub mobi txt 電子書下載 2024

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Andrew Gelman

Cambridge University Press

2006-12-18

648

USD 69.99

Paperback

Analytical Methods for Social Research

9780521686891

圖書標籤: 統計數學 R 模型 statistics 統計學機器學習分析

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发表于2024-11-25

Data Analysis Using Regression and Multilevel/Hierarchical Models epub 下載 mobi 下載 pdf 下載 txt 電子書下載 2024

Data Analysis Using Regression and Multilevel/Hierarchical Models pdf epub mobi txt 電子書下載 2024

圖書描述

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 下載 mobi epub pdf txt 電子書

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圖書目錄

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

想要找書就要到小哈圖書下載中心

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立刻按 ctrl+D收藏本頁

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用戶評價

評分☆☆☆☆☆

Gelman還有本Bayesian Data Anlaysis也是領域標杆

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Bedtime story. Read another chapter or make love?

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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。

評分☆☆☆☆☆

36-663 Hierarchical/Bayesian/Multilevel Models 開啓瞭新世界的大門

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PS 733: Maximum Likelihood Estimation