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Communications in Statistics - Theory and Methods Volume 9, 1980 - Issue 4
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Original Articles

Selecting the best one of several meifull populations

Joseph V. Kingston McDonnell Douglas Automation Co, St. Louis, Missouri, 63166
&
Jagdish K. Patel University of Missouri-Solla, Rolla, Missouri, 65401
Pages 383-398 | Received 01 Jun 1979, Published online: 27 Jun 2007

Citations (19)

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ThomasT. John & Pinyuen Chen. (2008) ℒ1-Limit of Trimmed Sums of Order Statistics from Location-Scale Distributions with Applications to Type II Censored Data Analysis. Communications in Statistics - Theory and Methods 37:16, pages 2488-2505.
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Hong-Fwu Yu. (2007) OPTIMAL SELECTION OF THE MOST RELIABLE DESIGN WITH A RECIPROCAL WEIBULL DEGRADATION RATE. Journal of the Chinese Institute of Industrial Engineers 24:1, pages 60-69.
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Hong-Fwu Yu & Wen-Ching Yu. (2006) OPTIMAL CLASSIFICATION OF HIGHLY RELIABLE PRODUCTS WITH A LINEARIZED DEGRADATION MODEL. Journal of the Chinese Institute of Industrial Engineers 23:5, pages 382-392.
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Hong-Fwu Yu. (2003) Optimal Classification Of Highly-Reliable Products Whose Degradation Paths Satisfy Wiener Processes. Engineering Optimization 35:3, pages 313-324.
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Hong-Fwu Yu. (2002) Optimal selection of the most reliable product with degradation data. Engineering Optimization 34:6, pages 579-590.
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Mansour M. Abughalous & Naveen K. Bansal. (1994) On the problem of selecting the best population in life testing models. Communications in Statistics - Theory and Methods 23:5, pages 1471-1481.
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Jang-Hwan Ko & Bong-Jin Yum. (1991) The chi-square approximation approach to ranking and selection procedures under type II censoring. Communications in Statistics - Theory and Methods 20:3, pages 1127-1147.
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Jee Soo Kim. (1988) A subset selection procedure for exponential populations under random censoring. Communications in Statistics - Theory and Methods 17:1, pages 183-206.
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Dong Ho Park & K.M. Lai Saxena. (1987) Nonparametric procedure for selecting the least nbu population : large sample approach. Communications in Statistics - Theory and Methods 16:11, pages 3359-3377.
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Tong An Hsu. (1982) On some optimal selection procedures for weibull populations. Communications in Statistics - Theory and Methods 11:23, pages 2657-2668.
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Joseph V. Kingston & Jagdish K. Patel. (1982) Classifying weibull populations with respect to a control. Communications in Statistics - Theory and Methods 11:8, pages 899-909.
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Joseph V. Kingston & Jagdish K. Patel. (1981) Interval estimation of the largest reliability of k weibull populations. Communications in Statistics - Theory and Methods 10:22, pages 2279-2298.
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Articles from other publishers (7)

Hong‐Fwu Yu. (2003) Optimal selection of the most reliable design whose degradation path satisfies a Wiener process. International Journal of Quality & Reliability Management 20:9, pages 1084-1095.
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A.N. Gill & G.P. Mehta. (1994) A class of subset selection procedures for Weibull populations. IEEE Transactions on Reliability 43:1, pages 65-70.
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D.-S. Chang, D.-Y. Huang & S.-T. Tseng. (1992) Selecting the most reliable design under type-II censored accelerated testing. IEEE Transactions on Reliability 41:4, pages 588-592.
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Tong-You Wu & Sheng-Tsaing Tseng. (1992) MLR rule for selecting the most reliable design. Reliability Engineering & System Safety 38:3, pages 237-243.
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Sheng-Tsaing Tseng & H.-J. Wu. (1990) Selecting, under type-II censoring, Weibull populations that are more reliable. IEEE Transactions on Reliability 39:2, pages 193-198.
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Shanti S. Gupta & S. Panchapakesan. 1988. Quality Control and Reliability. Quality Control and Reliability 131 156 .
Shanti S. Gupta & Klaus J. Miescke. (1986) Optimum two-stage selection procedures for Weibull populations. Journal of Statistical Planning and Inference 15, pages 147-156.
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