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Pseudosolution of Linear Functional Equations : Parameters Estimation of Linear Functional Relationships / by Alexander S. Mechenov
(Mathematics and Its Applications ; 576)

1st ed. 2005.
出版者 (New York, NY : Springer US : Imprint: Springer)
出版年 2005
本文言語 英語
大きさ X, 238 p : online resource
著者標目 *Mechenov, Alexander S author
SpringerLink (Online service)
件 名 LCSH:Mathematics -- Data processing  全ての件名で検索
LCSH:Econometrics
FREE:Computational Mathematics and Numerical Analysis
FREE:Econometrics
一般注記 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
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 linear integral equations in the presence of deterministic and random errors in the initial data. This book, for the first time, presents 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. Audience This book is intended for students, postgraduate students, scientists, and other researchers on handling economical and technical data. The book is especially intended for those who constantly use regression analysis in their own research and for those who create the mathematical software for computers
HTTP:URL=https://doi.org/10.1007/b105733
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Springer eBooks 9780387245065
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EB00230822

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データ種別 電子ブック
分 類 LCC:QA71-90
DC23:518
書誌ID 4000134148
ISBN 9780387245065

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