Workweek optimization of experimental designs: exact designs for variable sampling costs

DOI10.1007/s13253-010-0037-3zbMath1306.62364OpenAlexW2013985858MaRDI QIDQ2260184

Belle M. Sigal, Stephen E. Wright, A. John Bailer

Publication date: 5 March 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-010-0037-3

zbMATH Keywords

nonlinear regression\(D\)-optimalitygreedy methodnonlinear knapsack problemaquatic toxicology

Mathematics Subject Classification ID

Design of statistical experiments (62K99) Applications of statistics to environmental and related topics (62P12)

Related Items

Computing efficient exact designs of experiments using integer quadratic programming ⋮ Computing exact \(D\)-optimal designs by mixed integer second-order cone programming ⋮ Construction of efficient experimental designs under multiple resource constraints ⋮ Barycentric algorithm for computing D-optimal size- and cost-constrained designs of experiments ⋮ Incorporating historical data when determining sample size requirements for aquatic toxicity experiments

Uses Software

• Matlab
• SAS/IML
• SAS

Cites Work

• Model-oriented design of experiments
• The nonlinear knapsack problem - algorithms and applications
• A Comparison of Algorithms for Constructing Exact D-Optimal Designs
• The Design and Analysis of Experiments with Grouped Measurements I. Estimation of Mean
• Invited Discussion Paper Constrained Optimization of Experimental Design
• Design of experiments with unknown parameters in variance
• Optimum Allocation in Linear Regression Theory
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