Książka Introduction to Statistical Computing - A Simulation-based Approach Jochen Voss

Introduction to Statistical Computing - A Simulation-based Approach

Autor: Jochen Voss
Język: Angielski
Oprawa: Twarda
Dostępność: Dostępna u dostawcy w małych ilościach
Wysyłamy za 11-15 dni
380.14
A comprehensive introduction to sampling-based methods in statistical computing§The use of computers...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2013
strony
396
EAN
9781118357729
ISBN
1118357728
Enbook ID
02179058
Waga
632
Wymiary
230 x 160 x 23

Pełny opis

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

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