Numerical Methods of Statistics
«Review from the previous edition '… an excellent tool both for self-study and for classroom teaching. It summarizes the state of the art well and provides a solid basis, through the programs that go with the book, for numerical experimentation and further development. All in all, this is a good book to have … I recommend it.' D. Denteneer, Mathematics of Computing»
This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. Les mer
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Detaljer
- Forlag
- Cambridge University Press
- Innbinding
- Paperback
- Språk
- Engelsk
- ISBN
- 9780521139519
- Utgave
- 2. utg.
- Utgivelsesår
- 2011
- Format
- 25 x 18 cm
Anmeldelser
«Review from the previous edition '… an excellent tool both for self-study and for classroom teaching. It summarizes the state of the art well and provides a solid basis, through the programs that go with the book, for numerical experimentation and further development. All in all, this is a good book to have … I recommend it.' D. Denteneer, Mathematics of Computing»
«Review from the previous edition: '… this book grew out of notes for a statistical computing course … The goal of this course was to prepare the doctoral students with the computing tools needed for statistical research. I very much liked this book and recommend it for this use.' Jaromir Antoch, Zentralblatt für Mathematik»
«Review from the previous edition: '… a really nice introduction to numerical analysis. All the classical subjects of a numerical analysis course are discussed in a surprisingly short and clear way … When adapting the examples, the first half of the book can be used as a numerical analysis course for any other discipline …' Adhemar Bultheel, Bulletin of the Belgian Mathematical Society»
«Review from the previous edition: '… an extremely readable book. This would be an excellent book for a graduate-level course in statistical computing.' Journal of the American Statistical Association»