Random Fields Estimation

this Book Contains A Novel Theory Of Random Fields Estimation Of Wiener Type, Developed Originally By The Author And Presented Here. No Assumption About The Gaussian Or Markovian Nature Of The Fields Are Made. The Theory, Constructed Entirely Within The Framework Of Covariance Theory, Is Based On A Detailed Analytical Study Of A New Class Of Multidimensional Integral Equations Basic In Estimation Theory. This Book Is Suitable For Graduate Courses In Random Fields Estimation. It Can Also Be Used In Courses In Functional Analysis, Numerical Analysis, Integral Equations, And Scattering Theory. "This book contains a novel theory of random fields estimation of Wiener type, developed originally by the author and presented here. No assumption about the Gaussian or Markovian nature of the fields are made. The theory, constructed entirely within the framework of covariance theory, is based on a detailed analytical study of a new class of multidimensional integral equations basic in estimation theory." "This book is suitable for graduate courses in random fields estimation. It can also be used in courses in functional analysis, numerical analysis, integral equations, and scattering theory."--BOOK JACKET Formulation of basic results -- Numerical solution of the basic integral equation in distributions -- Proofs -- Singular perturbation theory for a class of Fredholm integral equations arising in random fields estimation theory -- Estimation and scattering theory -- Applications -- Auxiliary results This work deals with just one topic: analytic theory of random fields estimation within the framework of covariance theory.