BOOK-CHAPTER

D-Optimal Designs for Generalized Linear Models

Abstract

This paper develops some simple methods for obtaining D-optimal designs for generalized linear models with multiple design variables. In some important cases the numerical complexity can be reduced to that of the two parameter case regardless of the original dimension. The form and properties of the obtained D-optimal designs are illustrated and discussed through a few interesting examples.

Keywords:
Dimension (graph theory) Simple (philosophy) Optimal design Generalized linear model Applied mathematics Mathematical optimization Mathematics Computer science Algorithm Statistics Pure mathematics

Metrics

44
Cited By
5.68
FWCI (Field Weighted Citation Impact)
15
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Optimal Experimental Design Methods
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Advanced Multi-Objective Optimization Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Manufacturing Process and Optimization
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering

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