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Original Articles

More efficient monte carlo methods obtained by using ranked set simulated samples

Pages 699-713 | Received 01 Jun 1997, Published online: 27 Jun 2007

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Read on this site (5)

Hani M. Samawi & Ding-Geng Chen. (2021) Ranked simulated resampling: a more efficient and accurate resampling approximations for bootstrap inference. Journal of Statistical Computation and Simulation 91:18, pages 3709-3720.
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Ahmed N. Albatineh, Ibrahimou Boubakari & B. M. Golam Kibria. (2017) New confidence interval estimator of the signal-to-noise ratio based on asymptotic sampling distribution. Communications in Statistics - Theory and Methods 46:2, pages 574-590.
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Ahmed N Albatineh, B.M. Golam Kibria, Meredith L Wilcox & Bashar Zogheib. (2014) Confidence interval estimation for the population coefficient of variation using ranked set sampling: a simulation study. Journal of Applied Statistics 41:4, pages 733-751.
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HaniM. Samawi & Robert Vogel. (2013) More Efficient Approximation of Multiple Integrals using Steady State Ranked Simulated Sampling. Communications in Statistics - Simulation and Computation 42:2, pages 370-381.
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Hani M. Samawi, Martin Dunbar & Ding-Geng (Din) Chen. (2012) Steady-state ranked Gibbs sampler. Journal of Statistical Computation and Simulation 82:8, pages 1223-1238.
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Articles from other publishers (4)

Hani Michel Samawi. 2017. Monte-Carlo Simulation-Based Statistical Modeling. Monte-Carlo Simulation-Based Statistical Modeling 17 40 .
Douglas A. Wolfe. (2012) Ranked Set Sampling: Its Relevance and Impact on Statistical Inference. ISRN Probability and Statistics 2012, pages 1-32.
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A.D. Al-Nasser & Mohammed Al-Talib. (2010) The Ranked Sample-Mean Monte Carlo Method for Unidimensional Integral Estimation. Asian Journal of Mathematics & Statistics 3:3, pages 130-138.
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Hani M. Samawi & Mohammad F. Al-Saleh. (2007) On the approximation of multiple integrals using multivariate ranked simulated sampling. Applied Mathematics and Computation 188:1, pages 345-352.
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