Bayesian D-Optimal Design Issues and Optimal Design Construction Methods for Generalized Linear Models with Random Blocks

Bayesian D-Optimal Design Issues and Optimal Design Construction Methods for Generalized Linear Models with Random Blocks

abstract: Optimal experimental design for generalized linear models is often done using a pseudo-Bayesian approach that integrates the design criterion across a prior distribution on the parameter values. This approach ignores the lack of utility of certain models contained in the prior, and a case...

Full description

Bibliographic Details
Other Authors: Hassler, Edgar (Author)
Format: Doctoral Thesis
Language:English
Published: 2015
Subjects:
Statistics
Industrial engineering
Experimental Design
GLM
GLMM
Random Block
Random Intercept
Online Access:http://hdl.handle.net/2286/R.I.36021

Internet

http://hdl.handle.net/2286/R.I.36021

Similar Items