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

Puza, Borek; O'Neill, Terence

Description

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.

CollectionsANU Research Publications
Date published: 2005
Type: Journal article
URI: http://hdl.handle.net/1885/81855
Source: Journal of Statistical Computation and Simulation
DOI: 10.1080/00949650410001687172

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