Stochastic Simulation (Wiley Series in Probability and Statistics) by Brian D. Ripley (1987-02-25)

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Spatial Statistics (Wiley Series in Probability and Statistics) by Brian D. Ripley (1981-04-29)

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Stochastic Simulation (Wiley Series in Probability and Statistics) by Brian D. Ripley (2006-02-24)

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Stochastic Simulation

(WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscie...)

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. ". . .this is a very competently written and useful addition to the statistical literature; a book every statistician should look at and that many should study!" —Short Book Reviews, International Statistical Institute ". . .reading this book was an enjoyable learning experience. The suggestions and recommendations on the methods make this book an excellent reference for anyone interested in simulation. With its compact structure and good coverage of material, it is an excellent textbook for a simulation course." —Technometrics ". . .this work is an excellent comprehensive guide to simulation methods, written by a very competent author. It is especially recommended for those users of simulation methods who want more than a 'cook book'. " —Mathematics Abstracts This book is a comprehensive guide to simulation methods with explicit recommendations of methods and algorithms. It covers both the technical aspects of the subject, such as the generation of random numbers, non-uniform random variates and stochastic processes, and the use of simulation. Supported by the relevant mathematical theory, the text contains a great deal of unpublished research material, including coverage of the analysis of shift-register generators, sensitivity analysis of normal variate generators, analysis of simulation output, and more.

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Statistical Inference for Spatial Processes

(This book is designed for specialists needing an introduc...)

This book is designed for specialists needing an introduction to statistical inference in spatial statistics and its applications. One of the author's themes is to show how these techniques give new insights into classical procedures (including new examples in likelihood theory) and newer statistical paradigms such as Monte-Carlo inference and pseudo-likelihood. Professor Ripley also stresses the importance of edge effects and of the lack of a unique asymptotic setting in spatial problems. Throughout, he discusses the foundational issues posed and the difficulties, both computational and philosophical, which arise. The final chapters consider image restoration and segmentation methods and the averaging and summarizing of images.

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Stochastic Simulation by Brian D. Ripley (2006-03-10)

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Spatial Statistics

(The Wiley-Interscience Paperback Series consists of selec...)

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "Books such as this that bring together, clarify, and summarize recent research can lead to a great increase of interest in the area. . . . a major achievement in describing many aspects of spatial data and discussing, with examples, different methods of analysis." –Royal Statistical Society "Dr. Ripley’s book is an excellent survey of the spatial statistical methodology. It is very well illustrated with examples that give a clear view of the wide scope of the subject, the way in which techniques often have to be tailored to particular applications, and the different sorts of spatial data that arise." –The Bulletin of the London Mathematics Society Spatial Statistics provides a comprehensive guide to the analysis of spatial data. Each chapter covers a particular data format and the associated class of problems, introducing theory, giving computational suggestions, and providing examples. Methods are illustrated by computer-drawn figures. The book serves as an introduction to this rapidly growing research area for mathematicians and statisticians, and as a reference to new computer methods for researchers in ecology, geology, archaeology, and the earth sciences.

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Statistical Inference for Spatial Processes by B. D. Ripley (1991-07-26)

(Will be shipped from US. Used books may not include compa...)

Will be shipped from US. Used books may not include companion materials, may have some shelf wear, may contain highlighting/notes, may not include CDs or access codes. 100% money back guarantee.

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Spatial Statistics (Wiley Series in Probability and Statistics) by Brian D. Ripley (2004-08-09)

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