Zobrazeno 1 - 10
of 28
pro vyhledávání: '"A D Akkaya"'
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-23
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13b2bb8b974866f3aa65d66143f904de
https://doi.org/10.1080/03610918.2022.2103568
https://doi.org/10.1080/03610918.2022.2103568
Autor:
C Luca, V Zawar, D van Gysel, M Casals, Angela Hernández-Martín, Annabel Maruani, E Bonifazi, Christine Bodemer, F Mazzotta, T Hubiche, Ramon Grimalt, Isabel Colmenero, A Belloni-Fortina, L Martos-Cabrera, David Andina, I Grozdev, Suzanne G.M.A. Pasmans, A Chiriac, Antonio Torrelo, M P Novoa, M A Morren, M Munisami, Hagen Ott, Carmen Salavastru, Veronica A. Kinsler, A Nanda, M El-Hachem, Andrea Diociaiuti, J Ferrando, L Fertitta, A D Akkaya
Publikováno v:
Clinical and Experimental Dermatology
Clinical and Experimental Dermatology, Wiley, 2021, 46 (3), pp.451-461. ⟨10.1111/ced.14482⟩
Clinical and Experimental Dermatology, Wiley, 2021, 46 (3), pp.451-461. ⟨10.1111/ced.14482⟩
The current COVID-19 pandemic is caused by the SARS-CoV-2 coronavirus. The initial recognized symptoms were respiratory, sometimes culminating in severe respiratory distress requiring ventilation, and causing death in a percentage of those infected.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1abf8753dd9a43ff7c05a8ed5c5dd8b0
https://doi.org/10.1111/ced.14482
https://doi.org/10.1111/ced.14482
Autor:
V Zawar, L Fertitta, Isabel Colmenero, C Luca, M Casals, Suzanne G.M.A. Pasmans, Antonio Torrelo, M A Morren, Annabel Maruani, A Belloni-Fortina, L Martos-Cabrera, David Andina, T Hubiche, Christine Bodemer, I Grozdev, Andrea Diociaiuti, M P Novoa, J Ferrando, A Chiriac, Veronica A. Kinsler, A D Akkaya, Angela Hernández-Martín, Carmen Salavastru, D van Gysel, M Munisami, Hagen Ott, A Nanda, F Mazzotta, M El-Hachem, E Bonifazi, Ramon Grimalt
Publikováno v:
Clinical and Experimental Dermatology
Clinical and Experimental Dermatology, Wiley, 2021, 46 (3), pp.444-450. ⟨10.1111/ced.14481⟩
Clinical and Experimental Dermatology, 46(3), 444-450. Wiley-Blackwell Publishing Ltd
Clinical and Experimental Dermatology, Wiley, 2021, 46 (3), pp.444-450. ⟨10.1111/ced.14481⟩
Clinical and Experimental Dermatology, 46(3), 444-450. Wiley-Blackwell Publishing Ltd
The current COVID-19 pandemic is caused by the SARS-CoV-2 coronavirus. The initial recognized symptoms were respiratory, sometimes culminating in severe respiratory distress requiring ventilation, and causing death in a percentage of those infected.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19f74a6b5ab7ea78df854a56be7ef8f1
https://pubmed.ncbi.nlm.nih.gov/33180982
https://pubmed.ncbi.nlm.nih.gov/33180982
Autor:
Aysen D. Akkaya, Özlem Türker Bayrak
Publikováno v:
Iranian Journal of Science and Technology, Transactions A: Science. 42:2105-2116
In classical autoregressive models, it is assumed that the disturbances are normally distributed and the exogenous variable is non-stochastic. However, in practice, short-tailed symmetric disturbances occur frequently and exogenous variable is actual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c731c043b7257be49c5d8442f764acff
https://doi.org/10.1007/s40995-017-0448-x
https://doi.org/10.1007/s40995-017-0448-x
Publikováno v:
Proceedings of the 2019 2nd International Conference on Mathematics and Statistics.
In this paper, we consider the autoregressive models where the error term is non-normal; specifically belongs to a long-tailed symmetric distribution family since it is more relevant in practice than the normal distribution. It is known that least sq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bf38f91ee5d8fcd2423189c0e5f052d
https://doi.org/10.1145/3343485.3343490
https://doi.org/10.1145/3343485.3343490
Autor:
Özlem Türker Bayrak, Aysen D. Akkaya
Publikováno v:
Time Series Analysis and Forecasting ISBN: 9783319969435
In recent years, it is seen in many time series applications that innovations are non-normal. In this situation, it is known that the least squares (LS) estimators are neither efficient nor robust and maximum likelihood (ML) estimators can only be ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37201d37ebb0ab9c1ffcd90b6b5dc14b
https://doi.org/10.1007/978-3-319-96944-2_4
https://doi.org/10.1007/978-3-319-96944-2_4
Autor:
Sibel Balci, Aysen D. Akkaya
Publikováno v:
Journal of Applied Statistics. 42:2293-2306
In one-way ANOVA, most of the pairwise multiple comparison procedures depend on normality assumption of errors. In practice, errors have non-normal distributions so frequently. Therefore, it is very important to develop robust estimators of location
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14f970de7fdb3696887a64dc65b8d127
https://doi.org/10.1080/02664763.2015.1023706
https://doi.org/10.1080/02664763.2015.1023706
Publikováno v:
Journal of Computational and Applied Mathematics. 238:171-179
The closed-form maximum likelihood estimators (MLEs) of population mean and variance under ranked set sampling (RSS) do not exist since the likelihood equations involve nonlinear functions and have usually no explicit solutions. We derive modified ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b21d4a3e5096d73e0094810d01a81182
Autor:
Aysen D. Akkaya, M. Semih Yucemen
Publikováno v:
Structural Safety. 38:32-39
The precise estimation of the a and b parameters of Richter’s magnitude–frequency relationship is of primary importance, since the evaluation of seismicity and assessment of seismic hazard depend on these two parameters. In the literature two pop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06d39d9c8b58636c7193206dd75b5fd5
https://doi.org/10.1016/j.strusafe.2012.02.002
https://doi.org/10.1016/j.strusafe.2012.02.002
Autor:
Özlem Türker Bayrak, Aysen D. Akkaya
Publikováno v:
Journal of Computational and Applied Mathematics. 233(8):1763-1772
We consider a multiple autoregressive model with non-normal error distributions, the latter being more prevalent in practice than the usually assumed normal distribution. Since the maximum likelihood equations have convergence problems (Puthenpura an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c5e4f36d0e9f3e3a325fb5ed33c5191