Designing the future: A simple algorithm for sequential design of a generalized linear model
type: Item
instance of: scholarly article
title: Designing the future: A simple algorithm for sequential design of a generalized linear model
zbMATH Open document ID: 0933.62075
DOI: 10.1016/S0378-3758(98)00214-6
published in: Journal of Statistical Planning and Inference
publication date: 2000-04-06T00:00:00Z
Mathematics Subject Classification ID: 62L05
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 1331393
zbMATH Keywords: extreme quantiles
zbMATH Keywords: bioassay
zbMATH Keywords: optimal design
author: Donald L. McLeish
MaRDI profile type: Publication
cites work: Cumulative Frequency Functions
cites work: Estimation efficiency in lifetime regression models when responses are censored or grouped
cites work: Optimal designs for dose response experiments in cancer research
cites work: Q5615180
cites work: Optimum Designs in Regression Problems
cites work: The estimation of extreme quantiles in logit bioassay
cites work: Sequential Designs in Bioassay
cites work: A log gamma model and its maximum likelihood estimation
cites work: Discrimination among some parametric models
cites work: The Sequential Generation of $D$-Optimum Experimental Designs
cites work: Efficient Sequential Designs With Binary Data
description: scientific article; zbMATH DE number 1331393