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Springer Monte Carlo Statistical Methods Textbook

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Description

Monte Carlo Statistical Methods, part of the Springer Texts in Statistics series, provides a comprehensive treatment of the subject for both students and professionals. This book serves as a practical textbook containing many carefully worked out examples and exercises to aid learning. Beyond its educational foundation, it acts as an essential reference for statisticians working with Markov Chain Monte Carlo (MCMC) methods. The authors include discussions on important research topics such as Monte Carlo optimization and convergence diagnostics, supported by many relevant references. Whether you are using it for academic study or as a research tool, this Springer publication offers deep insights into statistical simulation and computational methods.

Key Features

This Springer publication offers a comprehensive treatment of Monte Carlo statistical methods for researchers and students.

The text includes many carefully worked out examples and exercises to support learning and practical application.

It serves as an essential reference for statisticians specifically working with MCMC methods.

Authors discuss important research topics including Monte Carlo optimization and convergence diagnostics.

The book provides many relevant references to assist with advanced statistical research and study.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
29 November 2010
Listed Since
14 June 2010

Barcode

No barcode data available

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