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

Date

2005

Authors

Puza, Borek
O'Neill, Terence

Journal Title

Journal ISSN

Volume Title

Publisher

Taylor & Francis Group

Abstract

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.

Description

Keywords

Keywords: Biased sampling; Exponential distribution; Finite population; Informative sampling; Length-bias; With-replacement sampling

Citation

Source

Journal of Statistical Computation and Simulation

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

Restricted until

2037-12-31