Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ilhan Usta"'
Autor:
Yeliz Mert Kantar, Ilhan Usta
Publikováno v:
Entropy, Vol 13, Iss 1, Pp 117-133 (2011)
In this study, we present a multi-objective approach based on a mean-variance-skewness-entropy portfolio selection model (MVSEM). In this approach, an entropy measure is added to the mean-variance-skewness model (MVSM) to generate a well‑diversifie
Externí odkaz:
https://doaj.org/article/f00f641a4c3a4ea2b5acd71fdf3b41a7
Autor:
İlhan USTA
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-27
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::132ea22447886ecaac5d0fd5a6559148
https://doi.org/10.1080/03610918.2022.2081705
https://doi.org/10.1080/03610918.2022.2081705
Autor:
İlhan USTA
Publikováno v:
Volume: 40, Issue: 1 9-26
Sigma Journal of Engineering and Natural Sciences
Sigma Journal of Engineering and Natural Sciences
In this study, based on progressive type-II censored data, Bayes estimators of the unknown parameter of the Topp-Leone distribution are derived by using informative and non-informative, priors under square error (symmetric), and linex, general entrop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c419fe98f47fa0f36fe6bb764c89c13
https://dergipark.org.tr/tr/pub/sigma/issue/69068/1093095
https://dergipark.org.tr/tr/pub/sigma/issue/69068/1093095
Autor:
Merve Akdede, Ilhan Usta
Publikováno v:
Journal of Reliability and Statistical Studies.
Inverse Gaussian is a popular distribution especially in the reliability and life time modelling, and thus the estimation of its unknown parameters has received considerable interest. This paper aims to obtain the Bayes estimators for the two paramet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59ff391868459cfd39a960c28a5f5b2c
https://doi.org/10.13052/jrss0974-8024.1315
https://doi.org/10.13052/jrss0974-8024.1315
Publikováno v:
Renewable Energy. 118:1024-1030
WOS: 000423008500091
The wind energy potential of a specified region can be estimated using the distribution of wind speed. Thus, finding appropriate wind speed distribution is essential. Weibull distribution (WD) is the most popular distributio
The wind energy potential of a specified region can be estimated using the distribution of wind speed. Thus, finding appropriate wind speed distribution is essential. Weibull distribution (WD) is the most popular distributio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e76dadf76ebcaf6fe501de047dc8a50
https://doi.org/10.1016/j.renene.2017.09.053
https://doi.org/10.1016/j.renene.2017.09.053
WOS: 000430882100048
This study introduces a new estimation approach that could be used in calculating the Weibull parameters for the estimation of wind power. This new approach, called the method of multi-objective moments (MUOM), proposes mini
This study introduces a new estimation approach that could be used in calculating the Weibull parameters for the estimation of wind power. This new approach, called the method of multi-objective moments (MUOM), proposes mini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fadfb70553a9aae66036495e9b307d8
https://hdl.handle.net/11421/17706
https://hdl.handle.net/11421/17706
Autor:
Ilhan Usta, Yeliz Mert Kantar
Publikováno v:
Energy Conversion and Management. 96:81-88
WOS: 000353729200009
Accurately modeling wind speed is critical in estimating the wind energy potential of a certain region. In order to model wind speed data smoothly, several statistical distributions have been studied. Truncated distributions
Accurately modeling wind speed is critical in estimating the wind energy potential of a certain region. In order to model wind speed data smoothly, several statistical distributions have been studied. Truncated distributions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce74181cd1986dd19417a359db7b2b97
https://doi.org/10.1016/j.enconman.2015.02.063
https://doi.org/10.1016/j.enconman.2015.02.063
Autor:
Ilhan Usta
Publikováno v:
Journal of Applied Statistics. 40:397-414
WOS: 000312341300013
The extended three-parameter Burr XII (EBXII) distribution has recently attracted considerable attention for modeling data from various scientific fields since it yields a wide range of skewness and kurtosis values. However,
The extended three-parameter Burr XII (EBXII) distribution has recently attracted considerable attention for modeling data from various scientific fields since it yields a wide range of skewness and kurtosis values. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18de234fbe57116df20e2c66b1584059
https://doi.org/10.1080/02664763.2012.743974
https://doi.org/10.1080/02664763.2012.743974
International Conference on Engineering & MIS (ICEMIS) -- SEP 22-24, 2016 -- Agadir, MOROCCO
WOS: 000391535300024
The northwest of Turkey is an important region which is a rapidly developing industrial center. Thus, energy analysis of this
WOS: 000391535300024
The northwest of Turkey is an important region which is a rapidly developing industrial center. Thus, energy analysis of this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ea039c2a127d7f0094c0df06ae6dc32
https://hdl.handle.net/11421/17774
https://hdl.handle.net/11421/17774
Autor:
Ilhan Usta
WOS: 000378659700030
Two-parameter Weibull distribution is widely-used and accepted as the most popular distribution for the evaluation of wind energy potential. However, it is well-known that parameter estimates have significant effects on the
Two-parameter Weibull distribution is widely-used and accepted as the most popular distribution for the evaluation of wind energy potential. However, it is well-known that parameter estimates have significant effects on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0075b15884a50cf3c5c35f6c015e8c7c
https://hdl.handle.net/11421/17707
https://hdl.handle.net/11421/17707