Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Ali H. Abuzaid"'
Publikováno v:
Songklanakarin Journal of Science and Technology (SJST), Vol 44, Iss 6, Pp 1434-1441 (2022)
In geostatistics, the detection of anomalous observations has a particular importance because of the changes they can create in environmental and geological patterns. Few methods for detecting such observations in univariate data have been proposed
Externí odkaz:
https://doaj.org/article/d776564e8ad64657b5d1f37fdf35337a
Autor:
Shokrya Saleh Alshqaq, Ali H. Abuzaid
Publikováno v:
Symmetry, Vol 15, Iss 12, p 2155 (2023)
In contemporary statistical methods, robust regression shrinkage and variable selection have gained paramount significance due to the prevalence of datasets characterized by contamination and an abundance of variables, often categorized as ‘high-di
Externí odkaz:
https://doaj.org/article/bd9b15d642804c9eb335871e7afa2bd6
Publikováno v:
Practical Laboratory Medicine, Vol 11, Iss , Pp 1-9 (2018)
Background: β-thalassemia minor (BTM) and iron deficiency (ID) are common disorders characterized by microcytosis and/or hypochromasia, leading to a challenge in their discrimination during mass-screening programs especially in developing countries
Externí odkaz:
https://doaj.org/article/8fda4fc6d89c48b88080cc9dca675728
Autor:
Farrukh Jamal, Ali H. Abuzaid, Muhammad H. Tahir, Muhammad Arslan Nasir, Sadaf Khan, Wali Khan Mashwani
Publikováno v:
Mathematical and Computational Applications, Vol 26, Iss 4, p 82 (2021)
In this article, Burr III distribution is proposed with a significantly improved functional form. This new modification has enhanced the flexibility of the classical distribution with the ability to model all shapes of hazard rate function including
Externí odkaz:
https://doaj.org/article/f27d188f57c74038b719d8301839c087
Publikováno v:
Iranian Journal of Science. 47:531-543
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6821432772343c705f4556fc1655b57e
https://doi.org/10.1007/s40995-023-01420-y
https://doi.org/10.1007/s40995-023-01420-y
Publikováno v:
Pakistan Journal of Statistics and Operation Research. :577-589
The modeling of functional relationship between circular variables is gaining an increasing interest. Existing models assume the errors have same distributions, but the case of different distributional errors is yet as investigated. This paper consid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d323b8f4fcf71ec2fdacb4358dcd2e3
https://doi.org/10.18187/pjsor.v17i3.3700
https://doi.org/10.18187/pjsor.v17i3.3700
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
Maximum likelihood estimation (MLE) is often used to estimate the parameters of the circular logistic regression model due to its efficiency under a parametric model. However, evidence has shown that the classicalMLEextremely affects the parameter es
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63a092103e7943907256ad0fccb61f39
https://doi.org/10.1155/2021/9944363
https://doi.org/10.1155/2021/9944363
Autor:
Shokrya S. Alshqaq, Ali H. Abuzaid
Publikováno v:
Communications in Statistics - Simulation and Computation. 52:1149-1163
This article proposes robust versions of Mallows’ Cp criterion to select the best variables for a multiple linear regression model with a small number of variables in the presence of outliers. The ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27821b8644fcf53648c9a0ba31e4760c
https://doi.org/10.1080/03610918.2021.1874988
https://doi.org/10.1080/03610918.2021.1874988
Publikováno v:
Communications for Statistical Applications and Methods. 27:547-568
Modeling the statistical autocorrelations in spatial data is often achieved through the estimation of the variograms, where the selection of the appropriate valid variogram model, especially for small samples, is crucial for achieving precise spatial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfad7e2b075a0514cc37cdec198fd7f7
https://doi.org/10.29220/csam.2020.27.5.547
https://doi.org/10.29220/csam.2020.27.5.547
Autor:
Ali H. Abuzaid
Publikováno v:
Statistics in Transition, Vol 21, Iss 3 (2020)
The problem of outlier detection in univariate circular data was the object of increased interest over the last decade. New numerical and graphical methods were developed for samples from different circular probability distributions. The main drawbac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ed8a80661dbaa6463d43496cac2448f
https://doi.org/10.21307/stattrans-2020-043
https://doi.org/10.21307/stattrans-2020-043