Length-biased, with-replacement sampling from an exponential finite population

Borek D. Puza*, Terence J. O'Neill

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)


In this article, we study a statistical model which features a finite population of exponentially distributed values and a length-biased, with-replacement sampling mechanism. This mechanism is such that units compete with one another for selection at each draw. It is shown how inference on a number of quantities can be performed using both frequentist and Bayesian strategies. A Monte Carlo study is used to assess the performance of the proposed point and interval estimators.

Original languageEnglish
Pages (from-to)159-174
Number of pages16
JournalJournal of Statistical Computation and Simulation
Issue number3
Publication statusPublished - 1 Mar 2005
Externally publishedYes


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