Computational Statistics / Wiley Series in Computational Statistics (ePub)
(Sprache: Englisch)
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
*...
modern and classical methods of statistical computing. The
book is comprised of four main parts spanning the field:
* Optimization
* Integration and Simulation
* Bootstrapping
*...
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Produktdetails
Produktinformationen zu „Computational Statistics / Wiley Series in Computational Statistics (ePub)“
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.
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.
Autoren-Porträt von Geof H. Givens, Jennifer A. Hoeting
GEOF H. GIVENS, PhD, is Associate Professor in theDepartment of Statistics at Colorado State University. He serves as
Associate Editor for Computational Statistics and Data
Analysis. His research interests include statistical problems
in wildlife conservation biology including ecology, population
modeling and management, and automated computer face
recognition.
JENNIFER A. HOETING, PhD, is Professor in the Department
of Statistics at Colorado State University. She is an award-winning
teacher who co-leads large research efforts for the National
Science Foundation. She has served as associate editor for the
Journal of the American Statistical Association and
Environmetrics. Her research interests include spatial
statistics, Bayesian methods, and model selection.
Givens and Hoeting have taught graduate courses on computational
statistics for nearly twenty years, and short courses to leading
statisticians and scientists around the world.
Bibliographische Angaben
- Autoren: Geof H. Givens , Jennifer A. Hoeting
- 2012, 2. Auflage, 496 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118555481
- ISBN-13: 9781118555484
- Erscheinungsdatum: 09.10.2012
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 5.33 MB
- Mit Kopierschutz
Sprache:
Englisch
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