Joint records from two exponential populations and associated inference

William Volterman (), R. Arabi Belaghi () and N. Balakrishnan ()
Additional contact information
William Volterman: Syracuse University
R. Arabi Belaghi: University of Tabriz
N. Balakrishnan: McMaster University

Computational Statistics, 2018, vol. 33, issue 1, No 23, 549-562

Abstract: Abstract For two independent sequences of independent and identically distributed exponential random variables with different scale parameters based on observed lower-joint records, inter-record times, and record indicators. The conditional maximum likelihood estimators are considered as well as various interval estimators. A simulation method is given to efficiently generate these lower-joint records which is utilized in a Monte Carlo study of the coverage probabilities of the interval estimators.

Keywords: Lower records; Conditional maximum likelihood estimators; Interval estimators; Simulation; Bootstrap intervals (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s00180-017-0761-z

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