Hjorth, J. S. Urban.
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.
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
"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
"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
Inhaltsverzeichnis
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
Klappentext
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.
