Güncel Gönderiler: Fen Fakültesi
Toplam kayıt 2379, listelenen: 1161-1180
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Analysis of wind speed distributions: Wind distribution function derived from minimum cross entropy principles as better alternative to Weibull function
(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 ... -
Generalized Least Squares and Weighted Least Squares Estimation Methods for Distributional Parameters
(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 ... -
Comparison of certain value-at-risk estimation methods for the two-parameter Weibull loss distribution
(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 ... -
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 ... -
Wind speed analysis using the Extended Generalized Lindley Distribution
(Pergamon-Elsevier Science LTD, 2018)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 distribution ... -
Robust ridge and robust Liu estimator for regression based on the LTS estimator
(Taylor & Francis LTD, 2013)In the multiple linear regression analysis, the ridge regression estimator and the Liu estimator are often used to address multicollinearity. Besides multicollinearity, outliers are also a problem in the multiple linear ... -
Assessment of Fuel Consumption Using Factorial Experiments, Regression Trees and MARS
(World Scientific And Engineering Acad And Soc, 2009)The purpose of this paper is to determine the effects that are significant on the fuel consumption of F-4 aircrafts by using three different statistical methods and compare the results of those different methods. The ... -
Comparison of regression models in case of non-normality and Heteroscedasticity
(Inst Advanced Science Extension, 2016)In regression analysis, in case of comparing two regression models and coefficients where the distribution of variables in question is not known, generalized p values may be used. The generalized p value is an extended ... -
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 ... -
Factors Associated with Depression in Patients with Schizophrenia
(Yerkure Tanitim & Yayıncılık Hizmetleri A S, 2016)Objective: In this study, it is aimed to determine the prevalence of depression rate, socio-demographic factors related to depression and to determine the relationship between depression in schizophrenia with positive and ... -
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 ... -
Biplots of fuzzy coded data
(Elsevier Science BV, 2011)A biplot, which is the multivariate generalization of the two-variable scatterplot, can be used to visualize the results of many multivariate techniques, especially those that are based on the singular value decomposition. ... -
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 ... -
Sampling frame coverage and domain adjustment procedures for internet surveys
(Springer, 2013)The objective of this paper is to define and compare alternative sampling frames for the representative population coverage as a basis for sample selection in internet surveys. The study aims to provide a methodology for ... -
Dellphi programming of normality tests
(World Scientific And Engineering Acad And Soc, 2008)In this study, the source codes for the formulations of various normality tests are established on Delphi programming language. The main advantage of the programs given on this paper is that one can easily perform the ... -
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 ... -
Generalized Lindley and Power Lindley distributions for modeling the wind speed data
(Pergamon-Elsevier Science LTD, 2017)In this study, we propose to use Generalized Lindley (GL) and Power Lindley (PL) distributions as an alternative to the Weibull distribution for modeling the wind speed data. In the application part of the study, we consider ... -
One-step M-estimators: Jones and Faddy's skewed t-distribution
(Taylor & Francis LTD, 2013)One-step M (OSM)-estimator needs some initial/preliminary estimates at the beginning of the calculation process. In this study, we propose to use new initial estimates for the calculation of the OSM-estimator. We consider ... -
Robust factorial ANCOVA with LTS error distributions
(Hacettepe University, Fac Sci, 2018)In this study, parameter estimation and hypotheses testing in the balanced factorial analysis of covariance (ANCOVA) model, when the distribution of error terms is long-tailed symmetric (LTS) are considered. The unknown ... -
Ridge-Type MML Estimator in the Linear Regression Model
(Springer International Publishing Ag, 2019)Ridge regression is widely used to deal with the multicollinearity problem. However, traditional ridge estimator (Hoerl and Kennard 1970) loses its efficiency in the presence of outliers, since it is obtained based on least ...