A step-by-step guide to computing and graphics in regression analysisIn 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
Applied Regression Including Computing and Graphics (Wiley Series in Probability and Statistics)
β Scribed by R. Dennis Cook, Sanford Weisberg
- Year
- 1999
- Tongue
- English
- Leaves
- 609
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
A step-by-step guide to computing and graphics in regression analysisIn 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 aticsAccessible, 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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