Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Syed Ejaz Ahmed"'
Publikováno v:
Mathematics, Vol 12, Iss 10, p 1599 (2024)
Estimation of reliability and stress–strength parameters is important in the manufacturing industry. In this paper, we develop shrinkage-type estimators for the reliability and stress–strength parameters based on progressively censored data from
Externí odkaz:
https://doaj.org/article/6f8810eb6228429d96a787e898d334a4
Publikováno v:
Stats, Vol 3, Iss 2, Pp 120-136 (2020)
This paper aims to solve the problem of fitting a nonparametric regression function with right-censored data. In general, issues of censorship in the response variable are solved by synthetic data transformation based on the Kaplan–Meier estimator
Externí odkaz:
https://doaj.org/article/922b3aaa572544199fd3024f255f0811
Publikováno v:
Entropy, Vol 24, Iss 12, p 1833 (2022)
This study aims to propose modified semiparametric estimators based on six different penalty and shrinkage strategies for the estimation of a right-censored semiparametric regression model. In this context, the methods used to obtain the estimators a
Externí odkaz:
https://doaj.org/article/62b29f75022e4831a6fdb28c716e0de8
Publikováno v:
Entropy, Vol 23, Iss 12, p 1586 (2021)
This paper focuses on the adaptive spline (A-spline) fitting of the semiparametric regression model to time series data with right-censored observations. Typically, there are two main problems that need to be solved in such a case: dealing with censo
Externí odkaz:
https://doaj.org/article/5f52211745e1468990651bbd79b90c1a
Publikováno v:
Entropy, Vol 23, Iss 10, p 1348 (2021)
In a host of business applications, biomedical and epidemiological studies, the problem of multicollinearity among predictor variables is a frequent issue in longitudinal data analysis for linear mixed models (LMM). We consider an efficient estimatio
Externí odkaz:
https://doaj.org/article/92c7b68c0df048f7b8efbb51f072e950
Publikováno v:
Entropy, Vol 23, Iss 3, p 329 (2021)
Electroencephalography/Magnetoencephalography (EEG/MEG) source localization involves the estimation of neural activity inside the brain volume that underlies the EEG/MEG measures observed at the sensor array. In this paper, we consider a Bayesian fin
Externí odkaz:
https://doaj.org/article/21afd2f88f674caba48c746f1a883188
Publikováno v:
Technometrics. :1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e73bd8cc95dece59be1899b3658b47c
https://doi.org/10.1080/00401706.2023.2201336
https://doi.org/10.1080/00401706.2023.2201336
Publikováno v:
Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data ISBN: 9781003170259
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ab41556be74b37bf81a897b5594a8fc
https://doi.org/10.1201/9781003170259-5
https://doi.org/10.1201/9781003170259-5
Publikováno v:
Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data ISBN: 9781003170259
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f95bee557a85151f86a731aec197757c
https://doi.org/10.1201/9781003170259-4
https://doi.org/10.1201/9781003170259-4