Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ghassan K. Abufoudeh"'
Autor:
Heba Almorad, Sara Helal, Husam Awni Bayoud, Omar A. Kittaneh, Ghassan K. Abufoudeh, Mohammed Abdul Majid
Publikováno v:
IEEE Transactions on Electron Devices. 68:4478-4484
Usually, researchers adopt Weibull distribution as the best fitting lifetime model of several electronics/ optoelectronics devices, including organic light-emitting diodes (OLEDs). They justify the adoption based on a few statistical goodness-of-fit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ee78ea83008f7ec6bdb534bb108c7f8
https://doi.org/10.1109/ted.2021.3097974
https://doi.org/10.1109/ted.2021.3097974
Publikováno v:
Statistics in Transition, Vol 20, Iss 2 (2019)
Based on one parameter exponential record data, we conduct statistical inferences (maximum likelihood estimator and Bayesian estimator) for the suggested model parameter. Our second aim is to predict the future (unobserved) records and to construct t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b159b29b9b6ac43454f87063f6126b66
https://doi.org/10.21307/stattrans-2019-011
https://doi.org/10.21307/stattrans-2019-011
Publikováno v:
Communications in Mathematics and Statistics. 8:255-277
In this work, we consider the problem of estimating the parameters and predicting the unobserved or removed ordered data for the progressive type II censored flexible Weibull sample. Frequentist and Bayesian analyses are adopted for conducting the es
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84050115e45413bfbb80895b1120e739
https://doi.org/10.1007/s40304-018-00173-0
https://doi.org/10.1007/s40304-018-00173-0
Publikováno v:
Journal of Statistical Theory and Practice. 12:669-687
In this work, we consider the problem of estimating the scale and location parameters and predicting the unobserved or removed data based on the Rayleigh progressive type II censored residu...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7804df517149beb0f358d987905d4014
https://doi.org/10.1080/15598608.2018.1450796
https://doi.org/10.1080/15598608.2018.1450796
Publikováno v:
Statistics in Transition, Vol 22, Iss 3 (2021)
Based on a record sample from the Rayleigh model, we consider the problem of estimating the scale and location parameters of the model and predicting the future unobserved record data. Maximum likelihood and Bayesian approaches under different loss f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f10658ffe2e4d4f51c997f87aa36c06f
https://doi.org/10.21307/stattrans-2021-027
https://doi.org/10.21307/stattrans-2021-027
Publikováno v:
Journal of Mathematics and Statistics. 12:182-191
In this study, we consider statistical inference problems for the residual life data that come from the Rayleigh model based on type II censored data. Maximum likelihood and Bayesian approaches are used to estimate the scale and location parameters f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1c897ca8d2d3b0e8b7a945cba6afc87
https://doi.org/10.3844/jmssp.2016.182.191
https://doi.org/10.3844/jmssp.2016.182.191