Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Feras Sh. M. Batah"'
Autor:
Feras Sh. M. Batah
Publikováno v:
المجلة العراقية للعلوم الاحصائية, Vol 11, Iss 2, Pp 111-116 (2011)
Modified (r, k) class ridge regression (MCRR) which includes unbiased ridge regression (URR), (r, k) class, principal components regression (PCR) and the ordinary least squares (OLS) estimators is proposed in regression analysis, to overcome the pro
Externí odkaz:
https://doaj.org/article/971b56fbe62a4cf89443909537dfea99
Publikováno v:
Surveys in Mathematics and its Applications, Vol 4 (2009), Pp 99-109 (2009)
Statistical literature has several methods for coping with multicollinearity. This paper introduces a new shrinkage estimator, called modified unbiased ridge (MUR). This estimator is obtained from unbiased ridge regression (URR) in the same way that
Externí odkaz:
https://doaj.org/article/4a1ebd8ee9cf46af994305dbcee2556c
Publikováno v:
Iraqi Journal of Science. :809-822
The aim of this paper is to estimate a single reliability system (R = P, Z > W) with a strength Z subjected to a stress W in a stress-strength model that follows a power Rayleigh distribution. It proposes, generates and examines eight methods and tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68f5799cfe374394faf44df57143f8dc
https://doi.org/10.24996/ijs.2023.64.2.27
https://doi.org/10.24996/ijs.2023.64.2.27
Autor:
Mohammed. S. Jalal, Feras Sh. M. Batah
Publikováno v:
Iraqi Journal of Science. :1299-1306
In this paper, we study a single stress-strength reliability system , where Ƹ and ƴ are independently Exponentiated q-Exponential distribution. There are a few traditional estimating approaches that are derived, namely maximum likelihood estimation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed933ac70f6502f18cb4c5363e246f93
https://doi.org/10.24996/ijs.2023.64.3.24
https://doi.org/10.24996/ijs.2023.64.3.24
Autor:
Emad Sh. M. Haddad, Feras Sh. M. Batah
Publikováno v:
Iraqi Journal of Science. :4847-4858
The stress – strength model is one of the models that are used to compute reliability. In this paper, we derived mathematical formulas for the reliability of the stress – strength model that follows Rayleigh Pareto (Rayl. – Par) distribution. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58308b3fa6c22b9c714cfc2bb16d11a7
https://doi.org/10.24996/ijs.2021.62.12.23
https://doi.org/10.24996/ijs.2021.62.12.23
Publikováno v:
2022 5th International Conference on Engineering Technology and its Applications (IICETA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b33df8c8f75ff38a7718ffaefd14637
https://doi.org/10.1109/iiceta54559.2022.9888581
https://doi.org/10.1109/iiceta54559.2022.9888581
Autor:
Emad Sh. M. Haddad, Feras Sh. M. Batah
Publikováno v:
1ST SAMARRA INTERNATIONAL CONFERENCE FOR PURE AND APPLIED SCIENCES (SICPS2021): SICPS2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::877c21b0b4c6020df3eb29368edf29d7
https://doi.org/10.1063/5.0128655
https://doi.org/10.1063/5.0128655
Publikováno v:
Journal of Physics: Conference Series. 2322:012022
In this work, we discuss the estimation parameters and the reliability function for Weibull –Pareto distribution by maximum likelihood method. For that we used two iterative approximation techniques called “Newton-Raphson (NR)” and “Fisher’
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b1c49eb2ace36e9a32b16575efa319d
https://doi.org/10.1088/1742-6596/2322/1/012022
https://doi.org/10.1088/1742-6596/2322/1/012022
Autor:
Emad Sh. M. Haddad, Feras Sh. M. Batah
Publikováno v:
2021 International Conference on Communication & Information Technology (ICICT).
In this paper we derive two mathematical formulas for the reliability system in the stress strength model when strength(Y) and stress(X) are independent based on Rayleigh-Pareto distribution. The first model is the reliability system for the series c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6efbd4e66510bc78772654ac9c3a1b36
https://doi.org/10.1109/icict52195.2021.9568442
https://doi.org/10.1109/icict52195.2021.9568442