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Statistical Inference and Simulation for Spatial Point Processes (Hardcover) Loot Price: R4,817
Discovery Miles 48 170
Statistical Inference and Simulation for Spatial Point Processes (Hardcover): Jesper Moller

Statistical Inference and Simulation for Spatial Point Processes (Hardcover)

Jesper Moller; Series edited by N. Reid; Rasmus Plenge Waagepetersen; Series edited by Valerie Isham, R.J. Tibshirani, Thomas A Louis, Howell Tong, Niels Keiding

Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability

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Loot Price R4,817 Discovery Miles 48 170 | Repayment Terms: R451 pm x 12*

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Spatial point processes play a fundamental role in spatial statistics and today they are a very active area of research with many new and emerging applications. Although published works address different aspects of spatial point processes, most of the classical literature deals only with nonparametric methods, and nowhere can one find a comprehensive treatment of the theory and applications of simulation-based inference. Written by researchers at the top of the field, this book collects and unifies recent theoretical advances and examples of applications. The authors examine Markov chain Monte Carlo (MCMC) algorithms and explore one of the most important recent developments in MCMC-perfect simulation procedures.

General

Imprint: Chapman & Hall/CRC
Country of origin: United States
Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Release date: September 2003
First published: 2004
Authors: Jesper Moller
Series editors: N. Reid
Authors: Rasmus Plenge Waagepetersen
Series editors: Valerie Isham • R.J. Tibshirani • Thomas A Louis • Howell Tong • Niels Keiding
Dimensions: 229 x 152 x 23mm (L x W x T)
Format: Hardcover
Pages: 320
ISBN-13: 978-1-58488-265-7
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
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LSN: 1-58488-265-4
Barcode: 9781584882657

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