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Modern Regression Methods, Set

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Praise for the First Edition ." . . provides a very thorough treatment of regression approaches, including techniques not covered in many books . . ." A[Technometrics ." . . an excellent book . . . worthwhile for anyone who uses regression techniques to obtain their own copy of this book . . ." A[ Australian & New Zealand Journal of Statistics "Modern Regression Methods, Second Edition" maintains the accessible organization, breadth of coverage, and cutting-edge appeal that earned its predecessor the title of being one of the top five books for statisticians by an "Amstat News" book editor in 2003. This new edition has been updated and enhanced to include all-new information on the latest advances and research in the evolving field of regression analysis. The book provides a unique treatment of fundamental regression methods, such as diagnostics, transformations, robust regression, and ridge regression. Unifying key concepts and procedures, this new edition emphasizes applications to provide a more hands-on and comprehensive understanding of regression diagnostics. New features of the "Second Edition" include: A revised chapter on logistic regression, including improved methods of parameter estimation A new chapter focusing on additional topics of study in regression, including quantile regression, semiparametric regression, and Poisson regression A wealth of new and updated exercises with worked solutions An extensive FTP site complete with MinitabAA(R) macros, which allow the reader to compute analyses, and specialized procedures Updated references at the end of each chapter that direct the reader to the appropriate resources for further study An accessible guide to state-of-the-art regression techniques, "Modern Regression Methods, Second Edition" is an excellent book for courses in regression analysis at the upper-undergraduate and graduate levels. It is also a valuable reference for practicing statisticians, engineers, and physical scientists.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780470550441
  • Indbinding:
  • Hardback
  • Sideantal:
  • 770
  • Udgivet:
  • 5. juni 2009
  • Udgave:
  • 2
  • Størrelse:
  • 155x234x9 mm.
  • Vægt:
  • 236 g.
  • BLACK WEEK
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Forlænget returret til d. 31. januar 2025

Beskrivelse af Modern Regression Methods, Set

Praise for the First Edition ." . . provides a very thorough treatment of regression approaches, including techniques not covered in many books . . ." A[Technometrics ." . . an excellent book . . . worthwhile for anyone who uses regression techniques to obtain their own copy of this book . . ." A[ Australian & New Zealand Journal of Statistics "Modern Regression Methods, Second Edition" maintains the accessible organization, breadth of coverage, and cutting-edge appeal that earned its predecessor the title of being one of the top five books for statisticians by an "Amstat News" book editor in 2003. This new edition has been updated and enhanced to include all-new information on the latest advances and research in the evolving field of regression analysis. The book provides a unique treatment of fundamental regression methods, such as diagnostics, transformations, robust regression, and ridge regression. Unifying key concepts and procedures, this new edition emphasizes applications to provide a more hands-on and comprehensive understanding of regression diagnostics. New features of the "Second Edition" include: A revised chapter on logistic regression, including improved methods of parameter estimation A new chapter focusing on additional topics of study in regression, including quantile regression, semiparametric regression, and Poisson regression A wealth of new and updated exercises with worked solutions An extensive FTP site complete with MinitabAA(R) macros, which allow the reader to compute analyses, and specialized procedures Updated references at the end of each chapter that direct the reader to the appropriate resources for further study An accessible guide to state-of-the-art regression techniques, "Modern Regression Methods, Second Edition" is an excellent book for courses in regression analysis at the upper-undergraduate and graduate levels. It is also a valuable reference for practicing statisticians, engineers, and physical scientists.

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