by Chung Sai Ho.Thesis (M.Phil.)--Chinese University of Hong Kong, 1996.Includes bibliographical references (leaves 53-56).SUMMARYChapter 1. --- Introduction --- p.1"Functional, Structural and Ultrastructural Relationships" --- p.2Identifiability --- p.4Non-normally Distributed Regressor --- p.5Chapter 2. --- Underlying Non-normality --- p.7Beta Regressor and Guassian Errors --- p.8Moments --- p.14Moment Generating Function & Characteristic Function --- p.17Modality --- p.18Distribution Portfolio --- p.21Chapter 3. --- Modified Maximum Likelihood Estimation --- p.24Consistency --- p.26Asymptotically Normality --- p.30Efficiency of the MMLE --- p.34Chapter 4. --- Monte Carlo Simulation Studies --- p.36The Use of MMLE --- p.36...
by Linda Hoi-ying Yau.Thesis (M.Phil.)--Chinese University of Hong Kong, 1991.Includes bibliographic...
The Bayesian parametric and semiparametric approaches are compared to recover the polynomial and non...
In this paper, we propose a robust parameter estimation method for the linear functional relationshi...
AbstractThis paper surveys the problem of estimating a linear relationship between variables which a...
A maximum likelihood solution is obtained for the simple linear structural relation model where the ...
AbstractThis paper considers the Maximum Likelihood (ML) estimation of the five parameters of a line...
Maximum likelihood estimation of parameters in linear structural relationships under normality assum...
by Yin-Ping Leung.Thesis (M.Phil.)--Chinese University of Hong Kong, 1992.Includes bibliographical r...
A maximum likelihood solution is obtained for the simple linear structural relation model where the ...
AbstractThis paper deals with maximum likelihood estimation of linear or nonlinear functional relati...
by Lai Siu Wai.Thesis (M.Phil.)--Chinese University of Hong Kong, 1989.Bibliography: leaves 50-52
by Tse Siu-Keung.Thesis (M.Phil.)--Chinese University of Hong Kong.Bibliography: leaves 47-48
This article deals with multiple linear functional relationships models. Two robust estimations proc...
Leung Wai-Kit.Thesis (M.Phil.)--Chinese University of Hong Kong, 1997.Includes bibliographical refer...
AbstractMany authors have discussed maximum likelihood estimation in the simple linear functional re...
by Linda Hoi-ying Yau.Thesis (M.Phil.)--Chinese University of Hong Kong, 1991.Includes bibliographic...
The Bayesian parametric and semiparametric approaches are compared to recover the polynomial and non...
In this paper, we propose a robust parameter estimation method for the linear functional relationshi...
AbstractThis paper surveys the problem of estimating a linear relationship between variables which a...
A maximum likelihood solution is obtained for the simple linear structural relation model where the ...
AbstractThis paper considers the Maximum Likelihood (ML) estimation of the five parameters of a line...
Maximum likelihood estimation of parameters in linear structural relationships under normality assum...
by Yin-Ping Leung.Thesis (M.Phil.)--Chinese University of Hong Kong, 1992.Includes bibliographical r...
A maximum likelihood solution is obtained for the simple linear structural relation model where the ...
AbstractThis paper deals with maximum likelihood estimation of linear or nonlinear functional relati...
by Lai Siu Wai.Thesis (M.Phil.)--Chinese University of Hong Kong, 1989.Bibliography: leaves 50-52
by Tse Siu-Keung.Thesis (M.Phil.)--Chinese University of Hong Kong.Bibliography: leaves 47-48
This article deals with multiple linear functional relationships models. Two robust estimations proc...
Leung Wai-Kit.Thesis (M.Phil.)--Chinese University of Hong Kong, 1997.Includes bibliographical refer...
AbstractMany authors have discussed maximum likelihood estimation in the simple linear functional re...
by Linda Hoi-ying Yau.Thesis (M.Phil.)--Chinese University of Hong Kong, 1991.Includes bibliographic...
The Bayesian parametric and semiparametric approaches are compared to recover the polynomial and non...
In this paper, we propose a robust parameter estimation method for the linear functional relationshi...