Pseudosolution of Linear Functional Equations: Parameters Estimation of Linear Functional…

Paperback | March 21, 2005

byAlexander S. Mechenov

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This book presents the author's new method of two-stage maximization of a likelihood function, which helps to solve a series of non-solving before the well-posed and ill-posed problems of pseudosolution computing systems of linear algebraic equations (or, in statistical terminology, parameters' estimators of functional relationships) and linear integral equations in the presence of deterministic and random errors in the initial data. This book presents, for the first time, a solution of the problem of reciprocal influence of passive errors of regressors and of active errors of predictors by computing point estimators of functional relationships.

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From the Publisher

This book presents the author's new method of two-stage maximization of a likelihood function, which helps to solve a series of non-solving before the well-posed and ill-posed problems of pseudosolution computing systems of linear algebraic equations (or, in statistical terminology, parameters' estimators of functional relationships) a...

From the Jacket

This book presents the author's new method of two-stage maximization of likelihood function, which helps to solve a series of non-solving before the well-posed and ill-posed problems of pseudosolution computing systems of linear algebraic equations (or, in statistical terminology, parameters' estimators of functional relationships) and...

Format:PaperbackDimensions:248 pages, 9.25 × 6.1 × 0.04 inPublished:March 21, 2005Publisher:Springer USLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0387245057

ISBN - 13:9780387245058

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Table of Contents

Contents.- General Preface.- Labels and Abbreviations.- Chapter I. Systems of Linear Algebraic Equations.- Chapter II. Systems of Linear Algebraic Equations.- Chapter III. Linear Integral Equations.- References.- Application.- Index.- Glossary of Symbols.

Editorial Reviews

From the reviews of the first edition:"This book presents a method of two-stage maximization of a likelihood function, which helps to solve a series of non-solved before well-posed and ill-posed problems of pseudosolution computing systems of linear algebraic equations . . This book is intended for students, postgraduate students, scientists, and other researchers handling economical and technical data. It is especially intended for those who constantly use regression analysis in their own research and for those who create mathematical software for computers." (Yuehua Wu, Zentralblatt MATH, Vol. 1077, 2006)