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

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Date
2015-11
Authors
Adewara, J.A.
Mbata, U.A
Journal Title
Journal ISSN
Volume Title
Publisher
Journal of Modern Applied Statistical Methods
Abstract
Three 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.
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Keywords
k-repeated Jackknife estimation method , mean square error , mean percentage error
Citation
Adewara, 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.