Statistical Rethinking 2024 pdf epub mobi 电子书

☆☆☆☆☆
简体网页||繁体网页

Statistical Rethinking 2024 pdf epub mobi 电子书著者简介

Richard McElreath is the director of the Department of Human Behavior, Ecology, and Culture at the Max Planck Institute for Evolutionary Anthropology. He is also a professor in the Department of Anthropology at the University of California, Davis. His work lies at the intersection of evolutionary and cultural anthropology, specifically how the evolution of fancy social learning in humans accounts for the unusual nature of human adaptation and extraordinary scale and variety of human societies.

Statistical Rethinking 电子书图书目录

下载链接在页面底部

点击这里下载

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

想要找书就要到本本书屋

onlinetoolsland.com

立刻按 ctrl+D收藏本页

你会得到大惊喜!!

发表于2024-11-21

Statistical Rethinking 2024 pdf epub mobi 电子书

喜欢 Statistical Rethinking 电子书的读者还喜欢

Statistical Rethinking 电子书读后感

评分☆☆☆☆☆

[http://www.tianjun.me/essays/119] [https://pan.baidu.com/s/1skZIvu9 【作者的视频】] 最近这个月断断续续读完了Statistical Rethinking一书，感觉这本书还是挺适合入门的。作者的文风很好，每一章开头都会引入一个有意思的例子方便读者对本章的内容有一个大概的理解，不过...

评分☆☆☆☆☆

类似图书点击查看全场最低价

出版者:Chapman and Hall/CRC

作者:Richard McElreath

出品人:

页数:487

译者:

出版时间:2015-12-21

价格:USD 99.00

装帧:Hardcover

isbn号码:9781482253443

丛书系列:

图书标签: 统计学统计 Statistics 贝叶斯数学 bayesian 机器学习数据科学

Statistical Rethinking 2024 pdf epub mobi 电子书图书描述

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.

The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation.

By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling.

Statistical Rethinking 2024 pdf epub mobi 电子书

想要找书就要到本本书屋

onlinetoolsland.com

立刻按 ctrl+D收藏本页

你会得到大惊喜!!