Optimal allocation of stratified samples with several variance constraints and equal workloads over time by geometric programming
DOI10.1080/03610928908829982zbMath0696.62360OpenAlexW2045255226MaRDI QIDQ3474157
Miles Davis, Robert H. Jun. Finch
Publication date: 1989
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610928908829982
convexitynonlinear mathematical programminggeometric programmingmaximizationprimal and dual problemssampling costsNeyman allocationEurekaworkload constraints
Applications of statistics in engineering and industry; control charts (62P30) Sampling theory, sample surveys (62D05)
Cites Work
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- The Gradient Projection Method for Nonlinear Programming. Part I. Linear Constraints
- Geometric programming for optimal allocation of integrated samples in quality control
- Geometric Programming: Methods, Computations and Applications
- On the Two Different Aspects of the Representative Method: The Method of Stratified Sampling and the Method of Purposive Selection
- The Programming Approach in Multiple Character Studies
- A Note on the Stability of the Estimates of Standard Errors of the Ordinary Mean Estimate and the Ratio Estimate
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