An application of mathematical programming to sample allocation

DOI10.1016/S0167-9473(97)00007-8zbMath0900.62061OpenAlexW2087038517MaRDI QIDQ1390969

Richard Valliant, James E. Gentle

Publication date: 22 July 1998

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(97)00007-8

zbMATH Keywords

Nonlinear optimizationMulticriteria programmingTwo-stage samplingVariance component estimation

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Applications of mathematical programming (90C90) Nonlinear programming (90C30)

Related Items (4)

Fast integer-valued algorithms for optimal allocations under constraints in stratified sampling ⋮ Using spreadsheet solvers in sample design ⋮ Unequal probability sampling from a finite population: a multicriteria approach ⋮ A genetic algorithm applied to optimal allocation in stratified sampling

Uses Software

• NLPQL

Cites Work

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• Model assisted survey sampling.
• Some problems of optimal allocation in sample surveys involving inequality constraints
• A Simple 'Synthesis'-Based Method of Variance Component Estimation
• Design and Testing of a Generalized Reduced Gradient Code for Nonlinear Programming
• Survey Design Under the Regression Superpopulation Model

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