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Computer Intensive Statistical Methods: Validation, Model Selection, and Bootstrap

Autor J. S. Urban. Hjorth
en Limba Engleză Hardback – noi 1993
This book focuses on computer intensive statistical methods, such as validation, model selection, and bootstrap, that help overcome obstacles that could not be previously solved by methods such as regression and time series modelling in the areas of economics, meteorology, and transportation.
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Specificații

ISBN-13: 9780412491603
ISBN-10: 0412491605
Pagini: 272
Dimensiuni: 152 x 229 x 21 mm
Greutate: 0.66 kg
Ediția:and edition
Editura: CRC Press
Colecția Chapman and Hall/CRC

Public țintă

Professional Practice & Development

Cuprins

1. Prelude 2. Computer intensive philosophy 3. Cross validation 4. Validation o f time series problems 5. Statistical bootstrap 6. Further bootstrap results 7. Computer intensive applications

Recenzii

"The book is written in an engaging, entertaining style, and is well worth a look..."
-Short Book Reviews
"The examples and case studies presented are interesting, and help to explain how cross-validation and bootstrapping work in practice."
-The Statistician

Descriere

This book focuses on computer intensive statistical methods, such as validation, model selection, and bootstrap, that help overcome obstacles that could not be previously solved by methods such as regression and time series modelling in the areas of economics, meteorology, and transportation.