Header menu link for other important links
X
Parameter estimation in linear and quadratic mixture models
B K SINHA, N K MANDAL, , P DAS
Published in Springer Science and Business Media, LLC
2014
Volume: 1028
   
Pages: 23 - 42
Abstract
In this chapter, we present standard mixture models and standard mixture designs as generally applied to such models. These mixture models and mixture designs will occur throughout the monograph. Several generalizations of standard mixture designs are also discussed here. Estimability issues involving the model parameters are addressed at length. In the process, information matrices are worked out and their roles are emphasized. The concept of Loewner domination is also brought in. © 2014, Springer India.
About the journal
JournalData powered by TypesetLecture Notes in Statistics
PublisherData powered by TypesetSpringer Science and Business Media, LLC
ISSN0930-0325
Open AccessNo