Survival Estimation Using Bootstrap, Jackknife and K-Repeated Jackknife Methods

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dc.contributor.authorAdewara, J.A.
dc.contributor.authorMbata, U.A
dc.date.accessioned2019-08-27T17:29:50Z
dc.date.available2019-08-27T17:29:50Z
dc.date.issued2015-11
dc.description.abstractThree re-sampling techniques are used to estimate the survival probabilities from an exponential life-time distribution. The aim is to employ a technique to obtain a parameter estimate for a two-parameter exponential distribution. The re-sampling methods considered are: Bootstrap estimation method (BE), Jackknife estimation method (JE) and the k-repeated Jackknife estimation method (KJE). The methods were computed to obtain the mean square error (MSE) and mean percentage error (MPE) based on simulated data. The estimates of the two-parameter exponential distribution were substituted to estimate survival probabilities. Results show that the MSE value is reduced when the K–repeated jackknife method is used.en_US
dc.identifier.citationAdewara, J. A., & Mbata, U. A. (2014). Survival Estimation Using Bootstrap, Jackknife and K-Repeated Jackknife Methods. Journal of Modern Applied Statistical Methods, 13(2), 15.en_US
dc.identifier.urihttps://ir.unilag.edu.ng/handle/123456789/4795
dc.language.isoenen_US
dc.publisherJournal of Modern Applied Statistical Methodsen_US
dc.subjectk-repeated Jackknife estimation methoden_US
dc.subjectmean square erroren_US
dc.subjectmean percentage erroren_US
dc.titleSurvival Estimation Using Bootstrap, Jackknife and K-Repeated Jackknife Methodsen_US
dc.typeArticleen_US
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