Autori
Tripathy, Manas RanjanKumar, PushkalTitolo
Classification Rules for Two Exponential Populations with a Common Location Using Censored Samples Periodico
StatisticaAnno:
2021 - Volume:
81 - Fascicolo:
3 - Pagina iniziale:
279 - Pagina finale:
301The 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.
SICI: 0390-590X(2021)81:3<279:CRFTEP>2.0.ZU;2-9
Esportazione dati in Refworks (solo per utenti abilitati)
Record salvabile in Zotero
Biblioteche ACNP che possiedono il periodico