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Statistical Analysis of Random Fields (Mathematics and its Applications) by A.A. Ivanov

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Published by Springer .
Written in English

Subjects:

  • Probability & statistics,
  • Random fields,
  • Mechanics - General,
  • Mathematics,
  • Science/Mathematics,
  • Physics,
  • Probability & Statistics - General,
  • Mathematics / Statistics,
  • Science-Mechanics - General,
  • Science-Physics,
  • Mathematical Statistics

Book details:

The Physical Object
FormatHardcover
Number of Pages256
ID Numbers
Open LibraryOL9096910M
ISBN 109027728003
ISBN 109789027728005

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Statistical Analysis of Random Fields. Authors (view affiliations) A. V. Ivanov k Downloads; Part of the Mathematics and Its Applications (Soviet Series) book series (MASS, volume 28) Log in to check access. Buy eBook. USD Estimator Variance calculus correlation linear regression statistical analysis. Authors and affiliations. Elements of the Theory of Random Fields.- Basic concepts and notation.- Homogeneous and isotropic random fields.- Spectral properties of higher order moments of random fields.- Some properties of the uniform distribution.- Variances of integrals of random fields.- Weak dependence conditions for random fields.- A. ISBN: OCLC Number: Language Note: English. Description: 1 online resource (x, pages) Contents: 1. Elements of the Theory of Random Fields Basic concepts and notation Homogeneous and isotropic random fields Spectral properties of higher order moments of random fields Some properties of the uniform distribution . This is followed by a chapter on spectral moments and related measures of disorder and on level excursions and extremes of Gaussian and related random developing a new framework of analysis based on local averages of one-, two-, and n-dimensional processes, the book concludes with a chapter discussing ramifications in the important.

The theory of spatial models over lattices, or random fields as they are known, has developed significantly over recent years. This book provides a graduate-level introduction to the subject which assumes only a basic knowledge of probability and statistics, finite Markov chains, and the spectral theory of second-order s: 1. Random fields provide a general theoretical framework for the development of spatial models and their applications in data analysis. The contents of the book include topics from classical statistics and random field theory (regression models, Gaussian random fields, stationarity, correlation functions) spatial statistics (variogram estimation, model inference, kriging-based prediction) and statistical . If you want to witty books, lots of novels, tale, jokes, and more fictions collections are with launched, from best seller to one of the most current released. You may not be perplexed to enjoy every book collections stochastic analysis for gaussian random processes and fields with applications chapman hallcrc monographs on statistics applied. This book provides an inter-disciplinary introduction to the theory of random fields and its applications. Spatial models and spatial data analysis are integral parts of many scientific and engineering disciplines. Random fields provide a general theoretical framework for the development of spatial models and their applications in data analysis.

to develop their own statistical tools for the analysis of their data. Whilst this book may not provide the reader with the specific answer it will inspire them to rethink their problem in the context of random fields, apply the method, and produce a solution. PDF | On Jan 1, , Michel Goulard published Statistical analysis of multivariate random fields | Find, read and cite all the research you need on ResearchGate. An ideal random field model will capture key features of complex random phenomena in terms of a minimum number of physically meaningful and experimentally accessible parameters. This volume, a revised and expanded edition of an acclaimed book first published by the M I T Press, offers a synthesis of methods to describe and analyze and, where. Random fields provide a general theoretical framework for the development of spatial models and their applications in data analysis. The contents of the book include topics from classical statistics and random field theory (regression models, Gaussian random fields, stationarity, correlation functions) spatial statistics (variogram estimation.