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pro vyhledávání: '"Yassir Rabhi"'
Autor:
Masoud Asgharian, Yassir Rabhi
Publikováno v:
Canadian Journal of Statistics. 49:637-658
Methodologies developed for left-truncated right-censored failure time data can mostly be categorized according to the assumption imposed on the truncation distribution, i.e., being completely unknown or completely known. While the former approach en
Publikováno v:
Statistics. 54:46-58
This paper addresses the semiparametric estimation of the regression function in a situation where the response variable is right-censored and the covariate(s) is completely observed. We present a ...
Autor:
Taoufik Bouezmarni, Yassir Rabhi
Publikováno v:
Journal of the American Statistical Association. 115:1268-1278
Length-biased data are often encountered in cross-sectional surveys and prevalent-cohort studies on disease durations. Under length-biased sampling subjects with longer disease durations have great...
Publikováno v:
Canadian Journal of Statistics, Vol. 48, no. 3, p. 582-595 (2020)
n this article we introduce a nonparametric estimator of the spectral density by smoothing the periodogram using beta kernel density. The estimator is proved to be bounded for short memory data and diverges at the origin for long memory data. The con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3175e8d66fb7c88d334908f25bd2156
https://hdl.handle.net/2078.1/252241
https://hdl.handle.net/2078.1/252241
Autor:
Yassir Rabhi, Masoud Asgharian
Publikováno v:
Bernoulli 23, no. 4A (2017), 2720-2745
Length-biased survival data commonly arise in cross-sectional surveys and prevalent cohort studies on disease duration. Ignoring biased sampling leads to bias in estimating the hazard-of-failure and the survival-time in the population. We address est
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b08e5965721366bdd29032a25476fc2
http://projecteuclid.org/euclid.bj/1494316830
http://projecteuclid.org/euclid.bj/1494316830
Autor:
Yassir Rabhi, Douglas P. Wiens
Publikováno v:
Statistica Sinica.
We address the problem of finding robust sampling designs for the esti- mation of a discrete time second-order stationary process when its autocorrelation function is only approximately specified and has a spectral density belonging to a neighbourhoo