Başlık için Makale Koleksiyonu listeleme
Toplam kayıt 129, listelenen: 73-92
-
M-estimation of log-logistic distribution parameters with outliers
(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
(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 ... -
Measuring the Relative Efficiencies of Statistics Departments in Turkey Using Data Envelopment Analysis
(2015)Bir eğitim sisteminin başarısındaki belirleyici faktörler: eğitim süreci içinde sunulan olanaklar ve eğitim süreci sonrası elde edilen yeterlilikler olabilmektedir. Bununla birlikte, eğitim sistemlerinin performanslarının ... -
MLR and ANN models of significant wave height on the west coast of India
(Pergamon-Elsevier Science LTD, 2012)Multiple linear regression (MLR) and artificial neural network (ANN) models are used in the present work to describe the significant wave height off Goa, located in the west Indian coast. A comparison study was carried out ... -
Modelling Extreme Rainfalls Using Generalized Additive Models for Location, Scale and Shape Parameters
(Corvinus University Budapest, 2016)This study aims to model the nonlinear relationship between the daily amount of extreme rainfall and significant predictor variables by the Generalized additive models for location, scale and shape parameters (GAMLSS). ... -
Modi?ed tests for comparison of group means under heteroskedasticity and non-normality caused by outlier(s)
(2017)There are several approximate tests proposed such as Welch's F-test (W), the Parametric Bootstrap Test (PB) and Generalized F-test (GF) for comparing several group means under heteroskedasticity. These tests are powerful ... -
Modified generalized p-value and confidence interval by Fisher's fiducial approach
(Hacettepe University, Fac Sci, 2017)In this study, we develop two simple generalized confidence intervals for the difference between means of two normal populations with heteroscedastic variances which is usually referred to as the Behrens-Fisher problem. ... -
Modified tests for comparison of group means under heteroskedasticity and non-normality caused by outlier(s)
(Hacettepe University, Fac Sci, 2017)There are several approximate tests proposed such as Welch's F-test (W), the Parametric Bootstrap Test (PB) and Generalized F-test (GF) for comparing several group means under heteroskedasticity. These tests are powerful ... -
A Monte Carlo simulation study on partially adaptive estimators of linear regression models
(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 ... -
Multiple Comparison of Age Groups in Bone Mineral Density under Heteroscedasticity
(Hindawi Publishing Corporation, 2015)Osteoporosis is a silent disease because individuals may not know that they have osteoporosis until their bones become so fragile. Bone mineral density (BMD) test helps to detect osteoporosis and determine the risk fractures. ... -
Near optimal step size and momentum in gradient descent for quadratic functions
(Scientific Technical Research Council Turkey-Tubitak, 2017)Many problems in statistical estimation, classification, and regression can be cast as optimization problems. Gradient descent, which is one of the simplest and easy to implement multivariate optimization techniques, lies ... -
A new approach for estimating the parameters of Weibull distribution via particle swarm optimization: An application to the strengths of glass fibre Cheek tor data
(Elsevier Sci LTD, 2019)Three-parameter Weibull is one of the most popular and most widely-used distribution in many fields of science. Therefore, many studies have been conducted concerning the statistical inferences of the parameters of Weibull ... -
A New Approach for Parameter Estimation in Fuzzy Logistic Regression
(University Sistan & Baluchestan, 2018)Logistic regression analysis is used to model categorical dependent variable. It is usually used in social sciences and clinical research. Human thoughts and disease diagnosis in clinical research contain vagueness. This ... -
A new estimation approach based on moments for estimating Weibull parameters in wind power applications
(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 ... -
A New Method of Approximation For Fuzzy Membership Function with Application
(2017)In the present study we have formulated a new Maximum Fuzzy Entropy Problem (Max(F)EntP) for fuzzy membership function and proposed sufficient conditions for existence of its solution. Mentioned problem consists of ... -
A New Method of Approxımatıon for Fuzzy Membershıp Functıon with Applıcatıon
(2017)In the present study we have formulated a new Maximum Fuzzy Entropy Problem (Max(F)EntP) for fuzzy membership function and proposed sufficient conditions for existence of its solution. Mentioned problem consists of ... -
A new weighted distribution as an extension of the generalized half-normal distribution with applications
(Taylor & Francis LTD, 2018)In this study, a new extension of generalized half-normal (GHN) distribution is introduced. Since this new distribution can be viewed as weighted version of GHN distribution, it is called as weighted generalized half-normal ... -
On a functional defined by means of Kullback-Leibler measure and its statistical applications
(2006)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 Identifiability of Finite Mixtures Based on the Union of Logarithmic Series and Discrete Rectangular Families
(Springer, 2009)In this paper, finite mixtures of the union of Logarithmic Series and Discrete Rectangular families are proved to be identifiable. The sufficient condition for the identifiability of finite mixtures given by Atienza et al. ... -
On the performance of the flexible maximum entropy distributions within partially adaptive estimation
(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 ...