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' estima
Pseudosolution of linear functional equations : parameters estimation of linear functional relationships
β Scribed by Alexander S Mechenov
- Publisher
- Springer Science+Business Media
- Year
- 2005
- Tongue
- English
- Leaves
- 248
- Series
- Mathematics and its applications (Springer Science+Business Media), 576
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book presents the authorβs 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, parametersβ 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
β¦ Table of Contents
Content: Systems of Linear Algebraic Equations.- Systems of Linear Algebraic Equations.- Linear Integral Equations.
Abstract:
π SIMILAR VOLUMES
This book presents the authorβs 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, parametersβ esti
<p>In this book we shall study linear functional equations of the form m bu(x) == Lak(X)U(Qk(X)) = f(x), (1) k=l where U is an unknown function from a given space F(X) of functions on a set X, Qk: X -+ X are given mappings, ak and f are given functions. Our approach is based on the investigation of
In this book we shall study linear functional equations of the form m bu(x) == Lak(X)U(Qk(X)) = f(x), (1) k=l where U is an unknown function from a given space F(X) of functions on a set X, Qk: X -+ X are given mappings, ak and f are given functions. Our approach is based on the investigation of the