Nonlinear integer programming for optimal allocation in stratified sampling

DOI10.1016/S0377-2217(98)00180-5zbMath1009.90073OpenAlexW1965458291MaRDI QIDQ1610189

Kurt M. Bretthauer, Bala Shetty, Anthony D. Ross

Publication date: 18 August 2002

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0377-2217(98)00180-5

zbMATH Keywords

samplingnonlinear integer programming

Mathematics Subject Classification ID

Integer programming (90C10) Nonlinear programming (90C30) Discrete location and assignment (90B80)

Related Items (11)

Algorithms for the continuous nonlinear resource allocation problem -- new implementations and numerical studies ⋮ A biobjective method for sample allocation in stratified sampling ⋮ Fast integer-valued algorithms for optimal allocations under constraints in stratified sampling ⋮ A general purpose exact solution method for mixed integer concave minimization problems ⋮ An index tracking model with stratified sampling and optimal allocation ⋮ A unified method for a class of convex separable nonlinear knapsack problems ⋮ A survey on the continuous nonlinear resource allocation problem ⋮ HEURISTIC AND EXACT SOLUTION METHOD FOR CONVEX NONLINEAR KNAPSACK PROBLEM ⋮ A genetic algorithm approach to determine stratum boundaries and sample sizes of each stratum in stratified sampling ⋮ Sequential Design and Spatial Modeling for Portfolio Tail Risk Measurement ⋮ The nonlinear knapsack problem - algorithms and applications

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