Read Introduction to Statistical Computing: A Simulation-Based Approach

Introduction to Statistical Computing: A Simulation-Based Approach

Jochen Voss

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Description:A comprehensive introduction to sampling-based methods in statistical computingThe 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 environmentR); 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 courseWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Introduction to Statistical Computing: A Simulation-Based Approach. To get started finding Introduction to Statistical Computing: A Simulation-Based Approach, you are right to find our website which has a comprehensive collection of manuals listed.
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Pages: 398

Format: PDF, EPUB & Kindle Edition

Publisher: John Wiley & Sons

Release: 2014

ISBN: 1299805329

Description: A comprehensive introduction to sampling-based methods in statistical computingThe 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 environmentR); 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 courseWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Introduction to Statistical Computing: A Simulation-Based Approach. To get started finding Introduction to Statistical Computing: A Simulation-Based Approach, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Introduction to Statistical Computing: A Simulation-Based Approach

Introduction to Statistical Computing: A Simulation-Based Approach

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