@article{Kumar_Tripathy_2021, title={Classification Rules for Two Exponential Populations with a Common Location Using Censored Samples}, volume={81}, url={https://rivista-statistica.unibo.it/article/view/11507}, DOI={10.6092/issn.1973-2201/11507}, abstractNote={The problem of classification into two exponential populations with a common location parameter under the type-II censoring scheme is considered. Estimators improving upon the MLEs and the UMVUEs are used to construct classification rules for classifying an observation as well as a group of observations. Further, a rule-based on the generalized likelihood ratio test, has also been proposed. More importantly, a detailed and in-depth simulation study has been carried out in order to compare the probability of correct classification as well as expected probability of correct classification numerically. Finally, a real life example is presented in order to illustrate the applicability of the proposed classification rules, under type-II censoring scheme.}, number={3}, journal={Statistica}, author={Kumar, Pushkal and Tripathy, Manas Ranjan}, year={2021}, month={Jan.}, pages={279–301} }