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Technometrics Volume 22, 1980 - Issue 4
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Original Articles

On Constructing Prediction Intervals for Samples from a Weibull or Extreme Value Distribution

K. W. Fertig Rockwell International Science Center, Thousand Oaks, CA, 91360
,
M. Eugene Meyer Rockwell International Science Center, Thousand Oaks, CA, 91360
&
Nancy R. Mann Rockwell International Science Center, Thousand Oaks, CA, 91360
Pages 567-573 | Published online: 23 Mar 2012

Citations (18)

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Read on this site (7)

Hai-Lin Lu, Tsong-Huey Wu & Hai-Wen Lu. (2009) Prediction Intervals for an Ordered Observation from Weibull Distribution Based on Censored Samples. Communications in Statistics - Simulation and Computation 38:2, pages 288-307.
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Tsong-Huey Wu & Hai-Lin Lu. (2007) Prediction intervals for an ordered observation from the logistic distribution based on censored samples. Journal of Statistical Computation and Simulation 77:5, pages 389-405.
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A. A. Jayawardhana & V. A. Samaranayake. (2003) Prediction Bounds in Accelerated Life Testing: Weibull Models with Inverse Power Relationship. Journal of Quality Technology 35:1, pages 89-103.
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J. K. Patel. (1989) Prediction intervals - a review. Communications in Statistics - Theory and Methods 18:7, pages 2393-2465.
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George N. Tziafetas. (1987) On the construction of bayesian prediction limits for the weibull distribution. Statistics 18:4, pages 623-628.
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Nancy R. Mann, V. Charles Charuvastra & V. K. Murthy. (1984) A Diagnostic Tool with Important Implications for Treatment of Addiction: Identification of Factors Underlying Relapse and Remission Time Distributions. International Journal of the Addictions 19:1, pages 25-44.
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Max Engelhardt & LeeJ. Bain. (1982) On Prediction Limits for Samples From a Weibull or Extreme-Value Distribution. Technometrics 24:2, pages 147-150.
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Articles from other publishers (11)

Tzong-Ru Tsai, Jyun-You Chiang, Shuai Wang & Yan Qin. 2023. Springer Handbook of Engineering Statistics. Springer Handbook of Engineering Statistics 315 331 .
Nicholas A. Nechval. 2021. Encyclopedia of Information Science and Technology, Fifth Edition. Encyclopedia of Information Science and Technology, Fifth Edition 701 729 .
Kevin Leckey, Christine H. Müller, Sebastian Szugat & Reinhard Maurer. (2020) Prediction intervals for load‐sharing systems in accelerated life testing. Quality and Reliability Engineering International 36:6, pages 1895-1915.
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Nicholas A. Nechval, Gundars Berzins & Konstantin N. Nechval. (2020) A Novel Intelligent Technique of Invariant Statistical Embedding and Averaging via Pivotal Quantities for Optimization or Improvement of Statistical Decision Rules under Parametric Uncertainty. WSEAS TRANSACTIONS ON MATHEMATICS 19, pages 17-38.
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N. A. Nechval, K. N. Nechval & G. Berzins. (2019) A New Technique for Intelligent Constructing Exact γ-content Tolerance Limits with Expected (1 – α)-confidence on Future Outcomes in the Weibull Case Using Complete or Type II Censored Data. Automatic Control and Computer Sciences 52:6, pages 476-488.
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Jyun-You Chiang, Shuai Wang, Tzong-Ru Tsai & Ting Li. (2018) Model Selection Approaches for Predicting Future Order Statistics from Type II Censored Data. Mathematical Problems in Engineering 2018, pages 1-29.
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Ramesh M. Mirajkar & Bhausaheb G. Kore. 2018. Statistics and its Applications. Statistics and its Applications 35 45 .
N. A. Nechval, G. Berzins, S. Balina, I. Steinbuka & K. N. Nechval. (2017) Constructing unbiased prediction limits on future outcomes under parametric uncertainty of underlying models via pivotal quantity averaging approach. Automatic Control and Computer Sciences 51:5, pages 331-336.
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Yongquan Sun, Yingchao Jin, Bo Liu, Quanwu Liu, Chunyu Yu & Jiahai Zhang. (2016) Classical and Bayes methods for Two-Sample prediction of a Weibull distribution. Classical and Bayes methods for Two-Sample prediction of a Weibull distribution.
Ashis SenGupta, Hemangi V. Kulkarni & Uttam D. Hubale. (2014) Prediction intervals for environmental events based on Weibull distribution. Environmental and Ecological Statistics 22:1, pages 87-104.
Crossref
Gerald J. Hahn & William Q. Meeker. 1991. Statistical Intervals. Statistical Intervals 368 381 .

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