Data Analysis Using Regression and Multilevel/Hierarchical Models pdf epub mobi txt 電子書 下載2025
- 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 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/
具體描述
讀後感
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. >-<
用戶評價
PS 733: Maximum Likelihood Estimation
评分Bedtime story. Read another chapter or make love?
评分Gelman還有本Bayesian Data Anlaysis也是領域標杆
评分Andrew Gelman Regression Hierarchical Models
评分Gelman還有本Bayesian Data Anlaysis也是領域標杆
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