- Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability (Book 43)
- Hardcover: 352 pages
- Publisher: Chapman and Hall/CRC; 1 edition (June 1, 1990)
- Language: English
- ISBN-10: 0412343908
- ISBN-13: 978-0412343902
- Product Dimensions: 6 x 0.8 x 9 inches
- Shipping Weight: 1.1 pounds (View shipping rates and policies)
- Average Customer Review: 4.5 out of 5 stars See all reviews (4 customer reviews)
- Amazon Best Sellers Rank: #383,672 in Books (See Top 100 in Books)
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Generalized Additive Models (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) 1st Edition
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"That the authors succeed in conveying their message is largely due to the extremely clear and effective organization of the text. General concepts are introduced, illustrated with relatively simple applications, and then re-examined at a more theoretical level." -Journal of the Royal Statistical Society, Series C "This book aims to 'provide an up-to-date survey of current research in additive modelling, ' with the 'emphasis on practical rather than theoretical.' With that in mind, the book does extremely well." -Statistics in Medicine "Generalized Additive Models is a good starting point for researchers wishing to initiate themselves in the vast and burgeoning area of large-sample nonparametric model fitting." -Journal of the American Statistical Association "Overall, my impressions of this book are very favorable, and I consider it a book worth owning... The material is presented clearly and attractively. I recommend it to anyone interested in or needing to use extensions to the general linear model." -Technometrics ..". a complete introduction to the topic in a single monograph... a very readable book that provides the reader with great insight into a vast array of data analysis techniques... an excellent text for a course on smoothing-based analysis techniques... highly recommended to any reader interested in an introduction to many of the recent developments in data analysis." -Siam Review
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Top Customer Reviews
Both Hastie and Tibshirani are now Stanford professors in the Statistics Department and both have written other excellent books including their joint publication with Jerry Friedman "The Elements of Statistical Learning" and Tibshirani along with Efron wrote an excellent monograph on bootstrap.
Because we were so impressed with the results, we both took the above book out of the library to read. I started the book with some trepidation as I feared it was going to be a complex topic and in some respects I was right. However, right from the encouraging quotes in the preface and into the text itself, I felt the authors were making a great effort to make the book readable.
The medico found that the explanations and examples were well written. His comment was that even a non-statistician could grasp what was going on but that there was enough theory that a statistician would be happy too!