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Approximating Integrals via Monte Carlo and Deterministic Methods (Hardcover) Loot Price: R3,885
Discovery Miles 38 850
You Save: R815 (17%)
Approximating Integrals via Monte Carlo and Deterministic Methods (Hardcover): Michael Evans, Timothy Swartz

Approximating Integrals via Monte Carlo and Deterministic Methods (Hardcover)

Michael Evans, Timothy Swartz

Series: Oxford Statistical Science Series, 20

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Was R4,700 Loot Price R3,885 Discovery Miles 38 850 | Repayment Terms: R364 pm x 12* You Save R815 (17%)

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This book is designed to introduce graduate students and researchers to the primary methods useful for approximating integrals. The emphasis is on those methods that have been found to be of practical use, and although the focus is on approximating higher-dimensional integrals the lower-dimensional case is also covered. This book covers all the most useful approximation techniques so far discovered; the first time that all such techniques have been included in a single book and at a level accessible for students. In particular, it includes a complete development of the material needed to construct the highly popular Markov Chain Monte Carlo (MCMC) methods.

General

Imprint: Oxford UniversityPress
Country of origin: United Kingdom
Series: Oxford Statistical Science Series, 20
Release date: March 2000
First published: March 2000
Authors: Michael Evans (Professor of Statistics) • Timothy Swartz (Associate Professor of Statistics)
Dimensions: 241 x 161 x 21mm (L x W x T)
Format: Hardcover
Pages: 298
ISBN-13: 978-0-19-850278-4
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Applications of computing > General
Books > Business & Economics > Economics > Econometrics > Economic statistics
Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering
LSN: 0-19-850278-8
Barcode: 9780198502784

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