Nonparametric Methods in Reliability
Hollander, Myles ; Peña, Edsel A.
Statist. Sci., Tome 19 (2004) no. 1, p. 644-651 / Harvested from Project Euclid
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Probabilistic and statistical models for the occurrence of a recurrent event over time are described. These models have applicability in the reliability, engineering, biomedical and other areas where a series of events occurs for an experimental unit as time progresses. Nonparametric inference methods, in particular, the estimation of a relevant distribution function, are described.
Publié le : 2004-11-14
Classification:  Aalen–Nelson estimator,  counting process,  frailty,  Gaussian process,  martingale,  minimal repair,  perfect repair,  product-limit estimator 
@article{1113832729,
     author = {Hollander, Myles and Pe\~na, Edsel A.},
     title = {Nonparametric Methods in Reliability},
     journal = {Statist. Sci.},
     volume = {19},
     number = {1},
     year = {2004},
     pages = { 644-651},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1113832729}
}

Hollander, Myles; Peña, Edsel A. Nonparametric Methods in Reliability. Statist. Sci., Tome 19 (2004) no. 1, pp.  644-651. http://gdmltest.u-ga.fr/item/1113832729/