Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Nabil Zougab"'
Publikováno v:
Journal of Innovative Applied Mathematics and Computational Sciences, Vol 2, Iss 2 (2022)
In this work, we consider the nonparametric estimation of the probability density function for nonnegative heavy-tailed (HT) data. The objective is first to propose a new estimator that will combine two regions of observations (high and low density).
Externí odkaz:
https://doaj.org/article/aec8401a8bad4c69829e78efd7ccb50b
Publikováno v:
Journal of Innovative Applied Mathematics and Computational Sciences. 2:38-47
In this work, we consider the nonparametric estimation of the probability density function for nonnegative heavy-tailed (HT) data. The objective is first to propose a new estimator that will combine two regions of observations (high and low density).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35119ecd246d78aec9ca346fd218477f
https://doi.org/10.58205/jiamcs.v2i2.32
https://doi.org/10.58205/jiamcs.v2i2.32
Publikováno v:
Communications in Statistics - Theory and Methods. :1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf844ed3f25efb48e6a55e9fb45f1107
https://doi.org/10.1080/03610926.2021.2025248
https://doi.org/10.1080/03610926.2021.2025248
Publikováno v:
Communications in Statistics - Simulation and Computation. 52:1546-1561
This paper proposes the nonparametric kernel method for the hazard rate (HR) function estimation in the context of positively skewed data. The class of generalized Birnbaum-Saunders (GBS) kernels i...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f64b1c3e5d7e134299eaf3496196eb51
https://doi.org/10.1080/03610918.2021.1887228
https://doi.org/10.1080/03610918.2021.1887228
Publikováno v:
Monte Carlo Methods and Applications. 27:57-69
In this paper, we consider the procedure for deriving variable bandwidth in univariate kernel density estimation for nonnegative heavy-tailed (HT) data. These procedures consider the Birnbaum–Saunders power-exponential (BS-PE) kernel estimator and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd8acadfbb72f0191b0eaf4c3e3f1054
https://doi.org/10.1515/mcma-2021-2082
https://doi.org/10.1515/mcma-2021-2082
Autor:
Nabil Zougab, Kahina Bedouhene
Publikováno v:
Monte Carlo Methods and Applications. 26:69-82
A Bayesian procedure for bandwidth selection in kernel circular density estimation is investigated, when the Markov chain Monte Carlo (MCMC) sampling algorithm is utilized for Bayes estimates. Under the quadratic and entropy loss functions, the propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b4115b0e215a38afc6fb8fe11ba9817
https://doi.org/10.1515/mcma-2020-2056
https://doi.org/10.1515/mcma-2020-2056
Autor:
Nabil Zougab, Kahina Bedouhene
Publikováno v:
Communications in Statistics - Simulation and Computation. 51:774-792
In this paper, we apply the multiplicative bias correction (MBC) techniques for von Mises (vM) kernel density estimator in the context of circular data. Some properties of the MBC-vM kernel circula...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab3dd7a7484d1967b4122b027466f652
https://doi.org/10.1080/03610918.2019.1659358
https://doi.org/10.1080/03610918.2019.1659358
Publikováno v:
Communications in Statistics - Simulation and Computation. 51:404-420
Two multiplicative bias correction (MBC) approaches for nonparametric multivariate associated kernel estimators for joint probability mass functions in the context of discrete supported data are pr...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::731cb5affc10c73b8a18ba74a4cea7cd
https://doi.org/10.1080/03610918.2019.1653912
https://doi.org/10.1080/03610918.2019.1653912
Publikováno v:
Communications in Statistics: Case Studies, Data Analysis and Applications. 4:109-117
–Two classes of multiplicative bias correction (MBC) methods with discrete associated kernels are used for probability mass function estimation. The MBC estimators reduce the order of magni...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f321423c3d3684b740fbdbc00ad4c32
https://doi.org/10.1080/23737484.2018.1512909
https://doi.org/10.1080/23737484.2018.1512909
Publikováno v:
Communications in Statistics - Theory and Methods. 47:4534-4555
In this article, we first propose the classical multivariate generalized Birnbaum–Saunders kernel estimator for probability density function estimation in the context of multivariate non negative d...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76d78d9611124e2f0661088ebe7f240d
https://doi.org/10.1080/03610926.2017.1377252
https://doi.org/10.1080/03610926.2017.1377252