A parametric bootstrap procedure to estimate the selected mean using censored data

Estimators for the mean of the selected population are proposed using a parametric bootstrap procedure. The small sample behaviour of the estimator is studied when the data is censored. The estimator is compared with other suitable estimators in the case of the negative exponential distribution.

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Year of publication:	1994
Authors:	Indurkhya, Alka
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 21.1994, 4, p. 291-298
Publisher:	Elsevier
Keywords:	Estimation after selection Bootstrap Censoring Negative exponential distribution

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005254205