Computational Statistics
eBook - ePub

Computational Statistics

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Computational Statistics

About this book

This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four main parts spanning the field:

  • Optimization
  • Integration and Simulation
  • Bootstrapping
  • Density Estimation and Smoothing

Within these sections, each chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods. The new edition includes updated coverage and existing topics as well as new topics such as adaptive MCMC and bootstrapping for correlated data. The book website now includes comprehensive R code for the entire book. There are extensive exercises, real examples, and helpful insights about how to use the methods in practice.

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Information

Publisher
Wiley
Year
2012
Print ISBN
9780470533314
eBook ISBN
9781118555484
Edition
2
Topic
Mathematics
Subtopic
Mathematics General
Index
Mathematics

Table of contents

  1. Cover
  2. Wiley Series in Computational Statistics
  3. Title Page
  4. Copyright
  5. Dedication
  6. Preface
  7. Acknowledgements
  8. Chapter 1: Review
  9. Part I: Optimization
  10. Part II: Integration and Simulation
  11. Part III: Bootstrapping
  12. Part IV: Density Estimation and Smoothing
  13. Data Acknowledgments
  14. References
  15. Index
  16. Wiley Series in Computational Statistics

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Yes, you can access Computational Statistics by Geof H. Givens,Jennifer A. Hoeting in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.