Computer Intensive Statistical Methods: Validation, Model Selection, and Bootstrap
Autor J. S. Urban. Hjorthen Limba Engleză Paperback – 2 dec 2019
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Specificații
ISBN-13: 9780367449674
ISBN-10: 0367449676
Pagini: 272
Dimensiuni: 152 x 229 x 14 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
ISBN-10: 0367449676
Pagini: 272
Dimensiuni: 152 x 229 x 14 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Public țintă
Professional Practice & DevelopmentCuprins
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
-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.