Dynamic Allocation in Survey Sampling

DOI10.1080/01966324.1991.10737307zbMath0774.62007OpenAlexW2089885204WikidataQ56518218 ScholiaQ56518218MaRDI QIDQ3136521

Michael N. Katehakis, Zakkula Govindarajulu

Publication date: 18 October 1993

Published in: American Journal of Mathematical and Management Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01966324.1991.10737307

zbMATH Keywords

numerical comparisonsnormal populationsheuristic proceduresBernoulli populationsdifferent, unknown variancesdynamic programming optimality equationsestimating linear combinations of meansinventory equationsloss structuresoptimal multistage sequential sample size allocation procedures

Mathematics Subject Classification ID

Bayesian inference (62F15) Sampling theory, sample surveys (62D05) Applications of mathematical programming (90C90) Sequential estimation (62L12)

Related Items (2)

Bayesian look ahead one-stage sampling allocations for selection of the best population ⋮ MULTI-ARMED BANDITS UNDER GENERAL DEPRECIATION AND COMMITMENT

Cites Work

• Approximation Theorems of Mathematical Statistics
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