Maximin designs for exponential growth models and heteroscedastic polynomial models
type: Item
instance of: scholarly article
title: Maximin designs for exponential growth models and heteroscedastic polynomial models
zbMATH Open document ID: 1012.62081
author: Lorens A. Imhof
published in: The Annals of Statistics
publication date: 2002-11-14T00:00:00Z
Mathematics Subject Classification ID: 62K05
zbMATH DE Number: 1829025
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1214/aos/1009210553
OpenAlex ID: W1483914296
cites work: Q3285647
cites work: A note on optimal Bayesian design for nonlinear problems
cites work: \(D\)-optimal designs for weighted polynomial regression
cites work: Locally Optimal Designs for Estimating Parameters
cites work: Q4363996
cites work: Bayesian optimal one point designs for one parameter nonlinear models
cites work: Bayesian D-optimal designs for exponential regression models
cites work: Q4854025
cites work: Optimal Bayesian designs for models with partially specified heteroscedastic structure
cites work: Bayesian D-optimal designs on a fixed number of design points for heteroscedastic polynomial models
cites work: Recent Advances in Nonlinear Experimental Design
cites work: Q4845393
cites work: Q4844368
cites work: A Graphical Method for Finding Maximin Efficiency Designs
cites work: Q5534404
cites work: Bayesian D-optimal designs for the exponential growth model
cites work: Q3716108
cites work: Robust experiment design via maximin optimization
cites work: Q4849481
cites work: Q5589310
cites work: Q3253942
cites work: Q3996907
cites work: Non-negative matrices and Markov chains. 2nd ed
cites work: Q3922026
cites work: Q4061445
cites work: Periodic Sigma Functions
cites work: A unified approach to the construction of minimax designs
DOI: 10.1214/AOS/1009210553
description: scientific article; zbMATH DE number 1829025