Bootstrap variance estimation for complex survey data: a quasi Monte Carlo approach

DOI10.1007/S13571-013-0062-7zbMath1333.62039OpenAlexW2056543272MaRDI QIDQ361228

Cherif Ahmat Tidiane Aidara

Publication date: 29 August 2013

Published in: Sankhyā. Series B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13571-013-0062-7

zbMATH Keywords

bootstrapquasi Monte Carloshuffled Halton sequencestratified sampling design

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Monte Carlo methods (65C05)

Related Items (1)

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Uses Software

• CRAN
• randtoolbox
• Survey

Cites Work

• On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals
• Model assisted survey sampling
• Discrépance de suites associées à un système de numération (en dimension s)
• Quasi-Monte Carlo methods and pseudo-random numbers
• On the distribution of points in a cube and the approximate evaluation of integrals
• Introduction to variance estimation

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