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Pseudosolution of Linear Functional Equations [electronic resource] : Parameters Estimation of Linear Functional Relationships / by Alexander S. Mechenov.

Por: Tipo de material: TextoTextoSeries Mathematics and Its Applications ; 576 | Mathematics and Its Applications ; 576Editor: Boston, MA : Springer US, 2005Descripción: X, 238 p. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9780387245065
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 518 23
  • 518 23
Clasificación LoC:
  • QA71-90
Recursos en línea:
Contenidos:
Springer eBooksResumen: This book presents the authors 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.
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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 authors 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.

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