Pseudosolution of linear functional equations : parameters estimation of linear functional relationships / by Alexander S. Mechenov.
"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, paramet...
Saved in:
| Main Author: | |
|---|---|
| Format: | Ebook |
| Language: | English |
| Published: |
New York :
Springer Science+Business Media,
[2005]
|
| Series: | Mathematics and its applications (Springer Science+Business Media) ;
576. |
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | "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." "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."--Jacket. |
|---|---|
| Physical Description: | 1 online resource (viii, 238 pages) : illustrations. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 0387245065 128026344X 9780387245065 9781280263446 |