Bootstrap and Jacknnife resampling in reliability: case exponential and Weibull

Remuestreo Bootstrap y Jackknife en confiabilidad: Caso Exponencial y Weibull

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Javier Ramírez-Montoya
Ignacio Osuna-Vergara
Jessica Rojas-Mora
Stalyn Guerrero-Gómez


In this paper the resampling methods bootstrap-t, Jackknife delete I and delete II, are compared using the non-parametric estimators Kaplan-Meier and Nelson-Aalen, frequently used in the practice, taking into account different percentages of censorship, sample sizes and times of interest. The comparation is carried out by simulation, using the mean square error.



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References (SEE)

C. Arrabal, R. Da Rocha, R. Nonaka, S. Meira. “Comparison of resampling method applied to censored data”, International Journal of Advanced Statistics and Probability, Vol. 2, No. 2, pp. 48-55. 2014. DOI:

B. Efron. “Bootstrap methods: Another look at jackknife”, The Annals of Statistics, Vol. 7, pp. 1-26. 1979. DOI:

E. Kaplan and P. Meier. “Estimation from Incomplete Observations”, American Statistical Association, Vol. 53, pp. 457-481. 1958. DOI:

J. Lawless. Statistical Models and Methods for Lifetime Data. New York: Wiley and Sons, 2003.

W. Meeker, L. Escobar. Statistical Models and Methods for Reliability Data. N.Y. John Wiley & Sons. 1998.

W. Nelson. “Hazard plotting for incomplete failure data”. Journal of Quality Technology, Vol. 61, pp. 27-52. 1969.

R Development Core Team. R: A Language and Environment for Statistical Computing”. 2007. R Foundation for Statistical Computing, Vienna, Austria. Avalaible:

J. Ramírez. “Comparación de intervalos de confianza para la función de supervivencia con censura a derecha”. Revista Colombiana de Estadística, Vol. 34, pp. 197-209. 2011.

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