Autori: Tripathy, Manas Ranjan , Kumar, Pushkal
Titolo: Classification Rules for Two Exponential Populations with a Common Location Using Censored Samples
Periodico: Statistica
Anno: 2021 - Volume: 81 - Fascicolo: 3 - Pagina iniziale: 279 - Pagina finale: 301

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.


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SICI: 0390-590X(2021)81:3<279:CRFTEP>2.0.ZU;2-9

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