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Estimation of the Quantile Function of an IFRA Distribution

✍ Scribed by Javier Rojo

Book ID
108536012
Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
337 KB
Volume
25
Category
Article
ISSN
0303-6898

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πŸ“œ SIMILAR VOLUMES

Uniform Strong Consistent Estimation of
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Let \(\bar{F}_{n}\) be an estimator of an IFRA survival function \(F\) and let \(A\) be such that \(0<\bar{F}(A)<1\). The main result constructs an IFRA estimator by splicing the smallest increasing failure rate on the average majorant and greatest increasing failure rate on the average minorant of

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## Abstract When analyzing biological data sets, a frequent problem is to estimate the __p__th quantile of a distribution, when that quantile is assumed to depend on a covariate; in the present paper the dependence of the quantile on the covariate is assumed to be monotonic. Some properties of an i