İstatistik Bölümü: Recent submissions
Now showing items 121-140 of 170
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Use of MinMaxEnt distributions defined on basis of MaxEnt method in wind power study
(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 ... -
Finite mixtures of MaxEnt distributions
(Elsevier Science Inc, 2008)Mixture distribution analysis has been the subject of a large remarkable diverse body of literature. So, in order to obtain a mixture density, the problem of parameter estimation has arisen and has taken an important role ... -
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. ... -
Survival Data Analysis By Generalized Entropy Optimization Methods
(Melandrium, 2013)Entropy Optimization Methods (EOM) have important applications, especially in statistics, economy, engineering and etc. There are several examples in the literature that known statistical distributions do not conform to ... -
Comparison of confidence intervals for the Behrens-Fisher problem
(Taylor & Francis Inc, 2017)The Behrens-Fisher problem concerns the inferences for the difference between means of two independent normal populations without the assumption of equality of variances. In this article, we compare three approximate ... -
A new concept of relative suitability of moment function sets
(Elsevier Science Inc, 2008)In modeling statistical data by using entropy optimization distributions, the choice of a suitable moment function set and various combinations of their elements are very important. It is also important to have criteria ... -
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). ... -
Statistical Inference Procedure By the Information-Based Test and Its Application in Marine Climatology
(Corvinus University Budapest, 2018)Objectives of ecological studies should drive all aspects of design. These objectives must include hypothesis testing and appropriate sample size. High level of unexplained variation is typical in many ecological studies ... -
Statistical power of an information-based test and its application to wave height data
(Pergamon-Elsevier Science LTD, 2010)Modeling wave heights is crucial for many maritime applications. An appropriate statistical distribution for describing wave heights is the Rayleigh distribution. Estimating and testing the significance of the 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. ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ...