by Tsz-Kit Keung.Thesis (M.Phil.)--Chinese University of Hong Kong, 1996.Includes bibliographical references (leaf 81).Chapter Chapter 1 --- Introduction --- p.1Chapter Chapter 2 --- Testing Testable Hypotheses in Linear Models --- p.8Chapter 2.1 --- A General Theory --- p.9Chapter 2.2 --- The Method of Peixoto --- p.17Chapter 2.3 --- The Method of Chan and Li --- p.23Chapter Chapter 3 --- A New Method of Obtaining Equivalent Hypotheses --- p.32Chapter Chapter 4 --- Constrained Linear Models --- p.44Chapter 4.1 --- Hypothesis Testing in Constrained Linear Models --- p.44Chapter 4.2 --- Linear Models with Missing Observations --- p.50Chapter Chapter 5 --- Conclusions --- p.71Appendix --- p.74References --- p.8
This book provides a concise and integrated overview of hypothesis testing in four important subject...
The necessity to publish the second edition of this book arose when its third German edition had jus...
3 pages, 1 article*Hypothesis Testing in Restricted Linear Models: Correcting an Error* (Searle, S....
by Kim Hung Lo.Thesis (M.Ph.)--Chinese University of Hong Kong, 1988.Bibliography: leaf 70
Linear models are statistical models that are linear in their parameters. This class of models incl...
Analysts conducting experiments must frequently deal with situations in which data is incomplete or...
42 pages, 1 article*Estimable Functions and Testable Hypotheses in Linear Models* (Searle, S. R.) 42...
21 pages, 1 article*Non-Testable Hypotheses in Linear Models* (Searle, Shayle R.; Swallow, William H...
A new method for testing linear restrictions in linear regression models is suggested. It allows to ...
This paper is concerned with testing linear hypotheses in high dimensional generalized linear models...
6 pages, 1 article*Testing Non-Testable Hypotheses in Linear Models: A Correction* (Searle, S. R.) ...
by Lam Man Kin.Thesis (M.Phil.)--Chinese University of Hong Kong, 1990.Bibliography: leaves 69-71.Ch...
In causal inference, all methods of model learning rely on testable implications, namely, properties...
. A general linear model can be written as Y = XB 0 + U , where Y is an N \Theta p matrix of obser...
AbstractA useful matrix identity is verified. The identity is, among other things, applicable to the...
This book provides a concise and integrated overview of hypothesis testing in four important subject...
The necessity to publish the second edition of this book arose when its third German edition had jus...
3 pages, 1 article*Hypothesis Testing in Restricted Linear Models: Correcting an Error* (Searle, S....
by Kim Hung Lo.Thesis (M.Ph.)--Chinese University of Hong Kong, 1988.Bibliography: leaf 70
Linear models are statistical models that are linear in their parameters. This class of models incl...
Analysts conducting experiments must frequently deal with situations in which data is incomplete or...
42 pages, 1 article*Estimable Functions and Testable Hypotheses in Linear Models* (Searle, S. R.) 42...
21 pages, 1 article*Non-Testable Hypotheses in Linear Models* (Searle, Shayle R.; Swallow, William H...
A new method for testing linear restrictions in linear regression models is suggested. It allows to ...
This paper is concerned with testing linear hypotheses in high dimensional generalized linear models...
6 pages, 1 article*Testing Non-Testable Hypotheses in Linear Models: A Correction* (Searle, S. R.) ...
by Lam Man Kin.Thesis (M.Phil.)--Chinese University of Hong Kong, 1990.Bibliography: leaves 69-71.Ch...
In causal inference, all methods of model learning rely on testable implications, namely, properties...
. A general linear model can be written as Y = XB 0 + U , where Y is an N \Theta p matrix of obser...
AbstractA useful matrix identity is verified. The identity is, among other things, applicable to the...
This book provides a concise and integrated overview of hypothesis testing in four important subject...
The necessity to publish the second edition of this book arose when its third German edition had jus...
3 pages, 1 article*Hypothesis Testing in Restricted Linear Models: Correcting an Error* (Searle, S....