An Improvement of Normal Approximation of Randomized Orthogonal Array Sampling Designs

DOI10.1080/07362990902976256zbMath1167.62370OpenAlexW1978792510MaRDI QIDQ3391775

Kritsada Sungkamongkol, K. Laipaporn, K. Neammanee

Publication date: 13 August 2009

Published in: Stochastic Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07362990902976256

zbMATH Keywords

Stein's methodnormal approximationorthogonal array sampling designuniform and non-uniform bounds

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05) Sampling theory, sample surveys (62D05) Orthogonal arrays, Latin squares, Room squares (05B15)

Related Items (3)

An Improvement of a Uniform Bound on a Combinatorial Central Limit Theorem ⋮ An Improvement of a Non Uniform Bound on Normal Approximation of Randomized Orthogonal Array Sampling Designs ⋮ A nonuniform bound to an independent test in high dimensional data analysis via Stein's method

Cites Work

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• On Latin hypercube sampling
• Scrambled net variance for integrals of smooth functions
• Monte Carlo Variance of Scrambled Net Quadrature
• An Introduction to Stein's Method
• A Uniform Bound on a Combinatorial Central Limit Theorem for Randomized Orthogonal Array Sampling Designs

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