Length-biased with-replacement sampling from an exponential finite population
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.
|Collections||ANU Research Publications|
|Source:||Journal of Statistical Computation and Simulation|
|01_Puza_Length-biased_with-replacement_2005.pdf||138.76 kB||Adobe PDF||Request a copy|
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