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American Journal of Mathematical and Management Sciences Volume 4, 1984 - Issue 3-4: Modern Statistical Methods in Digital Simulation
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Original Articles

On Assessing the Precision of Simulation Estimates of Percentile Points

Edward J. DudewiczDepartment of MathematicsSyracuse UniversitySyracuse, New York13210, U.S.A.
&
Edward C. van der MeulenDepartment of MathematicsKatholieke Universiteit LeuvenLeuven, Belgium
Pages 335-343 | Published online: 14 Aug 2013

Citations (7)

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Read on this site (5)

John I. McCool. (1998) Inference on the Weibull Location Parameter. Journal of Quality Technology 30:2, pages 119-126.
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Shu-Fei Wu & Hubert J. Chen. (1998) Multiple Comparisons with the Average for Normal Distributions. American Journal of Mathematical and Management Sciences 18:1-2, pages 193-218.
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Edward J. Dudewicz, Edward C. van der Meulen, M.G. SriRam & Nick K.W. Teoh. (1995) Entropy-Based Random Number Evaluation. American Journal of Mathematical and Management Sciences 15:1-2, pages 115-153.
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Charles l. Dunn. (1994) Simulating percentile points: stopping rules, precision, and scale. Communications in Statistics - Simulation and Computation 23:4, pages 1013-1026.
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CharlesL. Dunn. (1991) Precise Simulated Percentiles in a Pinch. The American Statistician 45:3, pages 207-211.
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Articles from other publishers (2)

K. Krishnamoorthy & Fang Xie. (2011) Tolerance intervals for symmetric location-scale families based on uncensored or censored samples. Journal of Statistical Planning and Inference 141:3, pages 1170-1182.
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K. Krishnamoorthy & Yin Lin. (2010) Confidence limits for stress–strength reliability involving Weibull models. Journal of Statistical Planning and Inference 140:7, pages 1754-1764.
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