276,92 €
307,69 €
-10% with code: EXTRA
Computational Statistics 2e
Computational Statistics 2e
276,92
307,69 €
  • We will send in 10–14 business days.
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 we…
  • Publisher:
  • ISBN-10: 0470533315
  • ISBN-13: 9780470533314
  • Format: 16 x 23.6 x 2.8 cm, hardcover
  • Language: English
  • SAVE -10% with code: EXTRA

Computational Statistics 2e (e-book) (used book) | bookbook.eu

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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.

EXTRA 10 % discount with code: EXTRA

276,92
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  • Author: Geof H Givens
  • Publisher:
  • ISBN-10: 0470533315
  • ISBN-13: 9780470533314
  • Format: 16 x 23.6 x 2.8 cm, hardcover
  • Language: English English

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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