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Könyv Applied Regression Including Computing and Graphic R. Dennis Cook

Applied Regression Including Computing and Graphic

Szerző: R. Dennis Cook, Sanford Weisberg
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: John Wiley & Sons Inc
Elérhetőség: Beszállítói készleten
Küldés 9-15 napon belül
78 441 Ft
A step-by-step guide to computing and graphics in regression analysis In this unique book, leading...

Információk a könyvről

Szerző
R. Dennis Cook, Sanford Weisberg
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
1999
oldal
632
EAN
9780471317111
ISBN
047131711X
Enbook ID
04889708
Kiadó
John Wiley & Sons Inc
Súly
1020
Méretek
161 x 240 x 35

Teljes leírás

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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