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Interval estimation for proportional reversed hazard family based on lower record values

Wang, B.X.; Yu, K.; Coolen, F.P.A.

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Authors

B.X. Wang

K. Yu



Abstract

This paper explores confidence intervals for the family of proportional reversed hazard distributions based on lower record values. The confidence intervals are validated as long as the sample is of size n≥3. The proposed procedure can be extended to the family of proportional hazard distributions based on upper record values. Numerical results show that the method is promising.

Citation

Wang, B., Yu, K., & Coolen, F. (2015). Interval estimation for proportional reversed hazard family based on lower record values. Statistics and Probability Letters, 98, 115-122. https://doi.org/10.1016/j.spl.2014.12.019

Journal Article Type Article
Publication Date Mar 1, 2015
Deposit Date Jan 12, 2015
Publicly Available Date Mar 28, 2024
Journal Statistics and Probability Letters
Print ISSN 0167-7152
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 98
Pages 115-122
DOI https://doi.org/10.1016/j.spl.2014.12.019
Keywords Confidence interval, Proportional reversed hazard distribution, Record value, Sample size.

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Accepted Journal Article (119 Kb)
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Copyright Statement
NOTICE: this is the author’s version of a work that was accepted for publication in Statistics & Probability Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Statistics & Probability Letters, 98, March 2015, 10.1016/j.spl.2014.12.019.





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