Stochastic geometry, spatial statistics and random fields. Models and algorithms.

Schmidt, Volker:

ISBN 10: 3319100637 / ISBN 13: 9783319100630

Published by Cham, Springer, 2015

About this Item

xxiv, 464 p. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. C-04684 9783319100630 Sprache: Englisch Gewicht in Gramm: 1150.

Seller Inventory # 2490923

Bibliographic Details

• Title: Stochastic geometry, spatial statistics and random fields. Models and algorithms.
• Publisher: Cham, Springer
• Publication Date: 2015
• Language: English
• ISBN 10: 3319100637
• ISBN 13: 9783319100630
• Binding: Softcover
• Weight: 1150 grams
• Seller catalogs:
  • SA MATHEMATIK

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.