Optimal Bayesian designs for models with partially specified heteroscedastic structure
type: Item
instance of: scholarly article
title: Optimal Bayesian designs for models with partially specified heteroscedastic structure
zbMATH Open document ID: 0867.62062
author: Weng Kee Wong
author: Holger Dette
published in: The Annals of Statistics
publication date: 1997-08-03T00:00:00Z
Mathematics Subject Classification ID: 62K05
Mathematics Subject Classification ID: 65D30
Mathematics Subject Classification ID: 62F15
zbMATH DE Number: 1006645
zbMATH Keywords: approximate designs
zbMATH Keywords: design efficiency
zbMATH Keywords: efficiency functions
zbMATH Keywords: equivalence theorem
zbMATH Keywords: generalized exponential growth model
zbMATH Keywords: polynomial regression models
zbMATH Keywords: error variances
zbMATH Keywords: optimal Bayesian designs
zbMATH Keywords: minimal number of support points
zbMATH Keywords: expectation
zbMATH Keywords: Laplace transform
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1214/aos/1069362313
OpenAlex ID: W2053161503
DOI: 10.1214/AOS/1069362313
description: scientific article; zbMATH DE number 1006645