An Introduction to Statistical Computing

An Introduction to Statistical Computing
Author :
Publisher : John Wiley & Sons
Total Pages : 322
Release :
ISBN-10 : 9781118728024
ISBN-13 : 1118728025
Rating : 4/5 (025 Downloads)

Book Synopsis An Introduction to Statistical Computing by : Jochen Voss

Download or read book An Introduction to Statistical Computing written by Jochen Voss and published by John Wiley & Sons. This book was released on 2013-08-28 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise intractable problems. Sampling-based simulation techniques are now an invaluable tool for exploring statistical models. This book gives a comprehensive introduction to the exciting area of sampling-based methods. An Introduction to Statistical Computing introduces the classical topics of random number generation and Monte Carlo methods. It also includes some advanced methods such as the reversible jump Markov chain Monte Carlo algorithm and modern methods such as approximate Bayesian computation and multilevel Monte Carlo techniques An Introduction to Statistical Computing: Fully covers the traditional topics of statistical computing. Discusses both practical aspects and the theoretical background. Includes a chapter about continuous-time models. Illustrates all methods using examples and exercises. Provides answers to the exercises (using the statistical computing environment R); the corresponding source code is available online. Includes an introduction to programming in R. This book is mostly self-contained; the only prerequisites are basic knowledge of probability up to the law of large numbers. Careful presentation and examples make this book accessible to a wide range of students and suitable for self-study or as the basis of a taught course.


An Introduction to Statistical Computing Related Books

An Introduction to Statistical Computing
Language: en
Pages: 322
Authors: Jochen Voss
Categories: Mathematics
Type: BOOK - Published: 2013-08-28 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has opened up a wide range of
Statistical Computing with R
Language: en
Pages: 412
Authors: Maria L. Rizzo
Categories: Reference
Type: BOOK - Published: 2007-11-15 - Publisher: CRC Press

DOWNLOAD EBOOK

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, m
Elements of Statistical Computing
Language: en
Pages: 456
Authors: R.A. Thisted
Categories: Mathematics
Type: BOOK - Published: 2017-10-19 - Publisher: Routledge

DOWNLOAD EBOOK

Statistics and computing share many close relationships. Computing now permeates every aspect of statistics, from pure description to the development of statist
Statistical Computing
Language: en
Pages: 612
Authors: WIlliam J. Kennedy
Categories: Mathematics
Type: BOOK - Published: 2021-06-23 - Publisher: Routledge

DOWNLOAD EBOOK

In this book the authors have assembled the "best techniques from a great variety of sources, establishing a benchmark for the field of statistical computing."
Numerical Issues in Statistical Computing for the Social Scientist
Language: en
Pages: 349
Authors: Micah Altman
Categories: Mathematics
Type: BOOK - Published: 2004-02-15 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

At last—a social scientist's guide through the pitfalls of modern statistical computing Addressing the current deficiency in the literature on statistical met