Applied Regression Including Computing and Graphics 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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R. Dennis Cook 作者

Wiley-Interscience

译者

1999-8-6 出版日期

632 页数

USD 192.00 价格

Hardcover

丛书系列

9780471317111 图书编码

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发表于2024-11-27

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Applied Regression Including Computing and Graphics 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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当年学applied statistical analysis的教材。Cook 就在UMN任教。他的经历传奇，出身烂校，却得到领域里的大奖，有一个哈佛毕业的教授专门跟着他混。我的一个室友是他的学生，听说他特喜欢吹嘘自己二战时开坦克车横冲直撞的经历。看来有成就者都有不凡的经历。

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Applied Regression Including Computing and Graphics 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Applied Regression Including Computing and Graphics 在线电子书图书描述

A step-by-step guide to computing and graphics in regression analysis

In this unique book, leading statisticians Dennis Cook and Sanford Weisberg expertly blend regression fundamentals and cutting-edge graphical techniques. They combine and up- date most of the material from their widely used earlier work, An Introduction to Regression Graphics, and Weisberg's Applied Linear Regression; incorporate the latest in statistical graphics, computing, and regression models; and wind up with a modern, fully integrated approach to one of the most important tools of data analysis.

In 23 concise, easy-to-digest chapters, the authors present:? A wealth of simple 2D and 3D graphical techniques, helping visualize results through graphs

* An improved version of the user-friendly Arc software, which lets readers promptly implement new ideas

* Complete coverage of regression models, including logistic regression and generalized linear models

* More than 300 figures, easily reproducible on the computer

* Numerous examples and problems based on real data

* A companion Web site featuring free software and advice, available at www.wiley.com/mathem atics

Accessible, self-contained, and fully referenced, Applied Regression Including Computing and Graphics assumes only a first course in basic statistical methods and provides a bona fide user manual for the Arc software. It is an invaluable resource for anyone interested in learning how to analyze regression problems with confidence and depth.

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