Stochastic Geometry, Spatial Statistics and Random Fields: Models and Algorithms

Schmidt, Volker (Ed.)

ISBN 10: 3319100637 / ISBN 13: 9783319100630

Published by Springer, 2014

About this Item

This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:9783319100630.

Seller Inventory # 2929045

Bibliographic Details

• Title: Stochastic Geometry, Spatial Statistics and Random Fields: Models and Algorithms
• Publisher: Springer
• Publication Date: 2014
• Language: English
• ISBN 10: 3319100637
• ISBN 13: 9783319100630
• Binding: Soft cover
• Condition: Good
• Weight: 800 grams
• Seller catalogs:
  • Mathematics

About this title

Synopsis

This volume is an attempt to provide a graduate level introduction to various aspects of stochastic geometry, spatial statistics and random fields, with special emphasis placed on fundamental classes of models and algorithms as well as on their applications, e.g. in materials science, biology and genetics. This book has a strong focus on simulations and includes extensive codes in Matlab and R which are widely used in the mathematical community. It can be seen as a continuation of the recent volume 2068 of Lecture Notes in Mathematics, where other issues of stochastic geometry, spatial statistics and random fields were considered with a focus on asymptotic methods.

From the Back Cover

Providing a graduate level introduction to various aspects of stochastic geometry, spatial statistics and random fields, this volume places a special emphasis on fundamental classes of models and algorithms as well as on their applications, for example in materials science, biology and genetics.
This book has a strong focus on simulations and includes extensive codes in Matlab and R, which are widely used in the mathematical community. It can be regarded as a continuation of the recent volume 2068 of Lecture Notes in Mathematics, where other issues of stochastic geometry, spatial statistics and random fields were considered, with a focus on asymptotic methods.