On the efficiency of monte carlo methods using steady state ranked simulated samples

DOI10.1080/03610910008813647zbMath1100.62503OpenAlexW2029457989WikidataQ126236485 ScholiaQ126236485MaRDI QIDQ4784254

Hani M. Samawi, Mohammad Fraiwan Al-Saleh

Publication date: 10 December 2002

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910008813647

zbMATH Keywords

order statisticsimportance samplingantithetic samplingcontrol variateCrude samplingranked simulated samplesteady state ranked simulated sampleuniform simulated sample

Mathematics Subject Classification ID

Statistics (62-XX) Monte Carlo methods (65C05) Numerical integration (65D30)

Related Items (12)

Steady-state ranked set sampling and parametric estimation ⋮ On the approximation of multiple integrals using multivariate ranked simulated sampling ⋮ More Efficient Approximation of Multiple Integrals using Steady State Ranked Simulated Sampling ⋮ Steady-state ranked Gibbs sampler ⋮ Reducing sample size needed for cox-proportional hazards model analysis using more efficient sampling method ⋮ On the totality of ranked set sampling ⋮ Ranked set sampling: its relevance and impact on statistical inference ⋮ A two-phase sampling strategy for large-scale forest carbon budgets ⋮ A more efficient Gibbs sampler estimation using steady-state simulation: applications to public health studies ⋮ Ranked simulated resampling: a more efficient and accurate resampling approximations for bootstrap inference ⋮ Controlled sampling using ranked set sampling ⋮ Multistage ranked set sampling

Cites Work

• Multistage ranked set sampling
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