Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Abdelkader Tatachak"'
Autor:
Zohra Guessoum, Abdelkader Tatachak
Publikováno v:
Revstat Statistical Journal, Vol 18, Iss 3 (2020)
Let {XN , N ≥ 1} be a sequence of strictly stationary associated random variables of interest, and {TN , N ≥ 1} be a sequence of random truncating variables assumed to be independent from {XN , N ≥ 1}. In this paper, we establish the strong uni
Externí odkaz:
https://doaj.org/article/0a6e380493b84029b5ef662a4cd4a056
Publikováno v:
Communications in Statistics - Theory and Methods. :1-26
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::275ccb1a4cb3970332e641ecfc9df4ef
https://doi.org/10.1080/03610926.2022.2028839
https://doi.org/10.1080/03610926.2022.2028839
Autor:
Abdelkader Tatachak, Soumia Rih
Publikováno v:
Communications in Statistics - Theory and Methods. 52:2072-2098
In practical problems connected with forecasting, it sometimes happens that the classical regression estimation is not informative enough to make good predictions of a response variable. This occur...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8670d6391a4dda30b8ef4d82e3284748
https://doi.org/10.1080/03610926.2021.1944216
https://doi.org/10.1080/03610926.2021.1944216
Autor:
Abdelkader Tatachak, Zohra Guessoum
Publikováno v:
Sankhya B. 82:142-164
Left-truncation and right-censoring arise frequently when considering lifetime data. When both incompleteness conditions occur, a product-limit estimator was proposed and investigated in the independent case by Tsai et al. (Biometrika74, 883–886, 1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ee8425265d426e8b45c5765c7471964
https://doi.org/10.1007/s13571-018-00185-4
https://doi.org/10.1007/s13571-018-00185-4
Autor:
Wafaa Djelladj, Abdelkader Tatachak
Publikováno v:
Biostatistiques et sciences de la santé. 2
L'objet du present article est d'etablir la normalite asymptotique d'un estimateur a noyau du quantile conditionnel dans un modele de censure droite, pour lequel les durees de vie ainsi que les covariables sont supposees satisfaire une dependance de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03ab51cb17a6f1bfc96632d8bfd7200d
https://doi.org/10.21494/iste.op.2021.0619
https://doi.org/10.21494/iste.op.2021.0619
Autor:
Latifa Adjoudj, Abdelkader Tatachak
Publikováno v:
Communications in Statistics - Theory and Methods. 48:4598-4641
In survival or reliability studies, it is common to have data which are not only incomplete but weakly dependent too. Random truncation and censoring are two common forms of such data when ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2b2b1b4e89e958e218d242744f701db
https://doi.org/10.1080/03610926.2018.1498895
https://doi.org/10.1080/03610926.2018.1498895
Autor:
Latifa Adjoudj, Abdelkader Tatachak
Publikováno v:
Biostatistiques et sciences de la santé. 1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d78167afb22ecb9c17791ad64b8e49b2
https://doi.org/10.21494/iste.op.2019.0396
https://doi.org/10.21494/iste.op.2019.0396
Autor:
Nassira Menni, Abdelkader Tatachak
Publikováno v:
Statistical Papers. 59:1009-1030
Let $$\left\{ (X_{i},Y_{i}), i \ge 1 \right\} $$ be a strictly stationary sequence of associated random vectors distributed as (X, Y). This note deals with kernel estimation of the regression function $$r(x)=\mathbb {E}[Y|X=x]$$ in the presence of ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a94a2710fa6e128366c8bcaf61eb6874
https://doi.org/10.1007/s00362-016-0801-8
https://doi.org/10.1007/s00362-016-0801-8
Autor:
Wafaa Djelladj, Abdelkader Tatachak
Publikováno v:
Volume: 48, Issue: 1 290-311
Hacettepe Journal of Mathematics and Statistics
Hacettepe Journal of Mathematics and Statistics
In survival or reliability studies, it is common to deal with data which are not only incomplete but weakly dependent too. Random right-censoring and random left-truncation are two common forms of such data when they are neither independent nor stron
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::734b58e7eec0b5f759bb0b7f79e5fb8d
https://dergipark.org.tr/tr/pub/hujms/issue/43219/524596
https://dergipark.org.tr/tr/pub/hujms/issue/43219/524596
Publikováno v:
Statistical Papers. 56:887-910
Let \(\left\{ Y_{N}, N\ge 1\right\} \) be a sequence of random variables of interest and \(\left\{ T_{N}, N\ge 1\right\} \) be a sequence of truncating variables. For a given \(n-\)sample \(\left( n\le N\right) \) of truncated replicates of \(Y\) ful
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0c616c8b9cdc76450eb134ca3221771
https://doi.org/10.1007/s00362-014-0613-7
https://doi.org/10.1007/s00362-014-0613-7