A comparison of two sampling schemes for generating record - breaking data from exponential distribution

A comparison of two sampling schemes for generating record - breaking data from exponential distribution

In this paper, we introduce a new sampling scheme in recordbreaking data, set up, as record rank set sampling. We compare the proposed sampling with the well-know sampling scheme in record values subjects as inverse sampling while the underlying distribution is one parameter exponential distribution. Various point estimators are obtained in each sampling schemes and compared with respect to mean squared error (MSE) and PitIman measure of closerness (PMC) ʹriteria. It is shown that for the most cases the new sampling provided more efficient estimators.