Güncel Gönderiler: Fakülteler
Toplam kayıt 10075, listelenen: 5461-5480
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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). ... -
The theoretical structure of Fuzzy Analytic Network Process (FANP) with Interval Type-2 Fuzzy Sets
(Elsevier Science BV, 2016)The Fuzzy Analytic Network Process has solved multi-criteria decision making problems. Type-1 fuzzy sets used defining as expert's linguistic judgement because fuzzy set theory is concerned with uncertainty in human thought ... -
Fuzzy exponentially weighted moving average control chart for univariate data with a real case application
(Elsevier Science BV, 2014)Statistical process control (SPC) is an approach to evaluate processes whether they are in statistical control or not. For this aim, control charts are generally used. Since sample data may include uncertainties coming ... -
Development of fuzzy ((X) over bar) over tilde - (R) over tilde and ((X) over bar) over tilde - (S) over tilde control charts using alpha-cuts
(Elsevier Science Inc, 2009)Statistical process control (SPC) is an approach that uses statistical techniques to monitor the process. Shewhart introduced the control charts that are one of the most important techniques of quality control to detect ... -
Interval Type-2 Fuzzy c-Control Charts: An Application in a Food Company
(Inst Mathematics & Informatics, 2017)Many papers exist on ordinary fuzzy control charts in literature in order to consider the vagueness and uncertainty in observation data. These are on both variable and attribute control charts. Several extensions of fuzzy ... -
Statistical Evaluation of Wind Characteristics in Kutahya, Turkey
(Taylor & Francis Inc, 2009)The wind characteristics of a region have to be evaluated sensitively to benefit from the wind potential. For this aim, the wind potential in the Kutahya-Bunelek hill region has been determined using several statistical ... -
A group sequential test of circular data using the von Mises distribution
(Hacettepe University, Fac Sci, 2015)In this study, the group sequential test is suggested for the mean direction parameter of the von Mises distribution when the concentration parameter is known and unknown. An application of the proposed test is illustrated ... -
Optimum smoothing parameter selection for penalized least squares in form of linear mixed effect models
(Taylor & Francis LTD, 2012)In this article, we discuss the penalized least squares problem which has many advantageous computational properties. This method based on penalized spline (P-spline) smoothing can be formulated to fit into a linear mixed ... -
K-Medoids and Fuzzy C-Means Algorithms for Clustering Co2 Emissions of Turkey and Other Oecd Countries
(Corvinus University Budapest, 2018)One of the most fundamental problems of societies is environmental problems that have emerged as the result of human behaviors which can be summarized as "dominating nature" and "using nature carelessly". The main causes ... -
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 ... -
The Relationship Between Parental Defense Intensity and Nest Site Characteristics in Eurasian Magpie (Pica Pica L.) - an Assessment With the Classification Methods
(Corvinus University Budapest, 2017)Nest defense behavior varies among species and depends on different factors. However little is known of the influence of urbanization and nest characteristics on the nest defense intensity as parental investment of the ... -
Accelerating backpropagation using effective parameters at each step and an experimental evaluation
(Taylor & Francis LTD, 2008)An acceleration of backpropagation algorithm with momentum (BPM) is introduced. At every stage of the learning process, local quadratic approximation of the error function is performed and the Hessian matrix of the quadratic ... -
Hybrid Models Combining Neural Networks and Nonparametric Regression Models Used for Time Series Prediction
(World Scientific And Engineering Acad And Soc, 2009)In this paper, we proposed the hybrid models whose components are nonparametric regression and artificial neural networks. Smoothing spline, regression spline and additive regression models are considered as the nonparametric ... -
A comparative study for the location and scale parameters of the Weibull distribution with given shape parameter
(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 ... -
Using multivariate adaptive regression splines to estimate pollution in soil
(Inst Advanced Science Extension, 2017)Heavy metal pollution is one of the main factors of the traffic pollution. The public authorities have been monitoring the concentration of heavy metal by means of sampling stations. This paper describes the response surface ... -
Variable selection with genetic algorithm and multivariate adaptive regression splines in the presence of multicollinearity
(Inst Advanced Science Extension, 2016)In this paper, it is aimed to determine the true regressors explaining the dependent variable in multiple linear regression models and also to find the best model by using two different approaches in the presence of low, ... -
Robust Estimation for Parameters of the Extended Burr Type III Distribution
(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 ... -
Analysis of the upper-truncated Weibull distribution for wind speed
(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
(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 ...
