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 2025

☆☆☆☆☆
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

喜欢 Data Analysis Using Regression and Multilevel/Hierarchical Models 在线电子书的读者还喜欢

下载链接在页面底部

下载链接1
下载链接2
下载链接3

想要找书就要到图书目录大全

book.wenda123.org

立刻按 ctrl+D收藏本页

你会得到大惊喜!!

发表于2025-03-16

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 复制链接

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 2025

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 2025

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

评分☆☆☆☆☆

PS 733: Maximum Likelihood Estimation

评分☆☆☆☆☆

36-663 Hierarchical/Bayesian/Multilevel Models 开启了新世界的大门

评分☆☆☆☆☆

Andrew Gelman Regression Hierarchical Models

评分☆☆☆☆☆

算是multilevel里面比较简单的了。另外作者开发的stan或许是未来贝叶思计算统计的必备软件，可能会取代BUGS

评分☆☆☆☆☆

算是multilevel里面比较简单的了。另外作者开发的stan或许是未来贝叶思计算统计的必备软件，可能会取代BUGS

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

想要找书就要到图书目录大全

book.wenda123.org

立刻按 ctrl+D收藏本页

你会得到大惊喜!!