Kurum Yazarı "Mert Kantar, Yeliz" Makale Koleksiyonu İçin Listeleme
-
Analysis of some flexible families of distributions for estimation of wind speed distributions
Usta, İlhan; Mert Kantar, Yeliz (Elsevier Sci LTD, 2012)The wind speed distribution is the basis for the assessment of wind energy potential needed for the design of wind farms. Therefore, the proper specification of the wind speed distribution is of special importance. In this ... -
Analysis of the upper-truncated Weibull distribution for wind speed
Mert Kantar, Yeliz; Usta, İlhan (Pergamon-Elsevier Science LTD, 2015)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 ... -
Analysis of wind speed distributions: Wind distribution function derived from minimum cross entropy principles as better alternative to Weibull function
Mert Kantar, Yeliz; Usta, İlhan (Pergamon-Elsevier Science LTD, 2008)In this study, the minimum cross entropy (MinxEnt) principle is applied for the first time to the wind energy field. This principle allows the inclusion of previous information of a wind speed distribution and covers the ... -
A comparative study for the location and scale parameters of the Weibull distribution with given shape parameter
Mert Kantar, Yeliz; Şenoğlu, Birdal (Pergamon-Elsevier Science LTD, 2008)Nine parametric estimators of the location and scale parameters of a two-parameter Weibull distribution are compared in terms of their bias and efficiency in a simulation study. The estimators considered are the maximum ... -
Comparison of certain value-at-risk estimation methods for the two-parameter Weibull loss distribution
Gebizlioğlu, Ömer L.; Şenoğlu, Birdal; Mert Kantar, Yeliz (Elsevier Science BV, 2011)The Weibull distribution is one of the most important distributions that is utilized as a probability model for loss amounts in connection with actuarial and financial risk management problems. This paper considers the ... -
Comparison of six different parameter estimation methods in wind power applications
Mert Kantar, Yeliz; Kurban, M.; Hocaoğlu, F. O. (2011)In this paper, the different parameter estimation methods such as maximum likelihood method, least square method, weighted least square method, moments method, the method based on quantiles and maximum spacing method for ... -
Comparison of Some Estimation Methods of the two parameter Weibull Distribution for Unusual
Since the Weibull distribution has been accepted reference distribution in wind energy field, topics on its parameter estimation methods get much attention. In this context, the literature have generally focused on non-robust ... -
The distribution of minimizing maximum entropy: Alternative to Weibull distribution for wind speed
In the present study, we have constructed MinMaxEnt distribution alternative to the Weibull distribution for the wind speed. MinMaxEnt distribution minimizes the special maximum entropy functional in the concrete set of ... -
Estimating variances inweighted least-squares estimation of distributional parameters
Mert Kantar, Yeliz (Association for Scientific Research, 2016)Many estimation methods have been proposed for the parameters of statistical distribution. The least squares estimation method, based on a regression model or probability plot, is frequently used by practitioners since its ... -
Farklı Olasılık Yoğunluk Fonksiyonları Kullanarak Rüzgar Gücü Potansiyelinin Tahmini
Usta, İlhan; Mert Kantar, Yeliz (2016)Sürekli rassal değişken olarak kabul edilen rüzgâr hızı istatistiksel dağılımlarla karakterize edilir ve ortalama rüzgâr gücü tahminleri yapılır. Weibull dağılımı rüzgar enerjisi alanında kabul edilmiş dağılımdır. Ancak ... -
Generalized Least Squares and Weighted Least Squares Estimation Methods for Distributional Parameters
Mert Kantar, Yeliz (Inst Nacional Estatistica-Ine, 2015)Regression procedures are often used for estimating distributional parameters because of their computational simplicity and useful graphical presentation. However, the resulting regression model may have heteroscedasticity ... -
M-estimation of log-logistic distribution parameters with outliers
Arık, I.; Mert Kantar, Yeliz (DAV College, 2014)Log-logistic distribution is widely-used in the analysis of agricultural, survival, hydrological and economics data. Therefore, its parameters have to be estimated accurately. Generally, traditional estimators such as ... -
Mean-Variance-Skewness-Entropy Measures: A Multi-Objective Approach for Portfolio Selection
Usta, İlhan; Mert Kantar, Yeliz (MDPI AG, 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 ... -
A Monte Carlo simulation study on partially adaptive estimators of linear regression models
Mert Kantar, Yeliz; Usta, İlhan; Acıtaş, Şükrü (Routledge Journals, Taylor & Francis LTD, 2011)This paper presents a comprehensive comparison of well-known partially adaptive estimators (PAEs) in terms of efficiency in estimating regression parameters. The aim is to identify the best estimators of regression parameters ... -
A new estimation approach based on moments for estimating Weibull parameters in wind power applications
Usta, İlhan; Arık, İbrahim; Yenilmez, İsmail; Mert Kantar, Yeliz (Pergamon-Elsevier Science LTD, 2018)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 ... -
On a functional defined by means of Kullback-Leibler measure and its statistical applications
In the present study, we define a functional by means of Kullback-Leibler (K-L) measure for continuous random variables and consider its properties. By virtue of this functional, we suggest a new generalization of K-L ... -
On the performance of the flexible maximum entropy distributions within partially adaptive estimation
Usta, İlhan; Mert Kantar, Yeliz (Elsevier Science BV, 2011)The partially adaptive estimation based on the assumed error distribution has emerged as a popular approach for estimating a regression model with non-normal errors. In this approach, if the assumed distribution is flexible ... -
Robust Estimation for Parameters of the Extended Burr Type III Distribution
Mert Kantar, Yeliz; Yıldırım, Vural (Taylor & Francis Inc, 2015)We consider various robust estimators for the extended Burr Type III (EBIII) distribution for complete data with outliers. The considered robust estimators are M-estimators, least absolute deviations, Theil, Siegel's ... -
A Study on Estimation of Wind Speed Distribution by Using the Modified Weibull Distribution
The knowledge of the probability density function of wind speed is key information for the determination of wind energy potential of the specified region. In the literature, the Weibull distribution is a widely-used and ... -
Use of MinMaxEnt distributions defined on basis of MaxEnt method in wind power study
Shamilov, Aladdin; Mert Kantar, Yeliz; Usta, İlhan (Pergamon-Elsevier Science LTD, 2008)Knowledge of the wind speed distribution is an important information needed in evaluation of wind power potential. Several statistical distributions have been used to study wind data. The Weibull distribution is the most ...