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A Non-Parametric Estimator of the Spectral Density of a Continuous-Time Gaussian Process Observed at Random Times

โœ Scribed by JEAN-MARC BARDET; PIERRE R. BERTRAND


Book ID
111008971
Publisher
John Wiley and Sons
Year
2010
Tongue
English
Weight
475 KB
Volume
37
Category
Article
ISSN
0303-6898

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NON-PARAMETRIC INFERENCE OF A FAILURE TI
โœ HYUNGJIN MYRA KIM; STEPHEN W. LAGAKOS ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 925 KB

We consider the estimation of a failure time distribution F when, instead of N i.i.d. realizations TI, T z , .. . , T N from F, the observations consist of estimates of the Ti. If the T i could be observed, a natural non-parametric estimator of F would be the Kaplan-Meier estimator. Thus, we examine