Güncel Gönderiler: Fakülteler
Toplam kayıt 10075, listelenen: 4741-4760
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Parameter estimation using different information-theoretical divergence measures
(2006)In this paper, a approach for parameter estimation is presented by using different divergence information measures. A comparison of the proposed approach and usual methods, such as the moment method, the least square method, ... -
The smoothing parameter selection problem in smoothing spline regression for different data sets
(2007)This paper studies smoothing parameter selection problem in nonparametric regression based on smoothing spline method for different data sets. For this aim, a Monte Carlo simulation study was performed. This simulation ... -
A framework for fuzzy variable control charts with ?-cuts
(2007)In traditional variable control charts, center line, upper control limit and lower control limit are crisp values. In this situation, process are defined "in control" or "out of control" with depending on observation values ... -
A semiparametric additive regression model: Investigation of house price in Eskisehir (Turkey)
(2007)In this paper, different regression models are obtained to examine relation between house price and house features in Centrum of Eskisehir Province (Turkey). The statistical analyses of this paper indicate that some of ... -
A comparison study of performance measures and length of intervals in fuzzy time series by neural networks
(2009)Deciding length of intervals and choosing performance measures have important issues to forecast fuzzy time series. Many forecasting studies accept MSE(Mean squared error) for performance measure and use only one kind of ... -
Forecasting with the aid of hybrid models, combining neural networks and nonparametric regression models in time series
(Vilnius Gediminas Technical University, 2010)The goal of this article is to introduce the hybrid models that combine nonparametric regression and artificial neural networks. Smoothing spline, regression spline and additive regression models are considered as the ... -
Generalized entropy optimization distributions dependent on parameter in time series
(2010)In this paper, we have proposed Generalized Entropy Optimization Problems (GEOP) concerned with parameters which consist of maximizing Entropy Functional subject to constraints dependent on parameters. Therefore, MinMaxEnt ... -
Comparison of spline approximation with the modified likelihoods in the presence of nuisance parameter
(2010)The likelihood functions from independent studies can be easily combined, and the combined likelihood function serves as a meaningful indication of the support the observed data give to the various parameter values. This ... -
Comparison of artificial neural networks and ridge regression for two different economic problems
(2005)The least squares estimators of the regression coefficients are the best linear unbiased estimators. That is, of all possible estimators that are both linear functions of the data and unbiased for the parameters being ... -
Derivation of ME estimator of a mixture of two normal distributions
(World Scientific And Engineering Acad And Soc, 2008)In this study, we obtain the parameters of a mixture density by using the principle of maximum equality which is based on Shannon's entropy measure. Since this procedure doesn't require constructing the likelihood function ... -
A Statistical Investigation on Wind Energy Potential of Northwest of Turkey
(IEEE, 2016)The northwest of Turkey is an important region which is a rapidly developing industrial center. Thus, energy analysis of this region has a high importance for the region's geopolitical, economic and demographic structure. ... -
Portfolio optimization with entropy measure
(Acta Press Anaheim, 2007)In portfolio management, the selection of portfolio weights has received considerable interest. Considering the expected return, risk and uncertainty, the portfolio distribution is to be determined. The maximum entropy ... -
Estimation Method Based on MinMaxEnt Distribution for Missing Value in Time Series
(World Scientific Publ Co Pte LTD, 2009)In this study, MinMaxEnt distribution out of Generalized Entropy Optimization Distributions with moment functions and moment values dependent on parameter are introduced. MaxEnt distribution for observed time series is ... -
Design of Fuzzy (u)over-tilde Control Charts
(Old City Publishing Inc, 2011)When expressing any data in linguistic terms related to a quality characteristic, traditional statistical techniques are insufficient to capture the vagueness in the data. Linguistic data can be transformed into numerical ... -
Interval Type-2 Fuzzy Analytic Network Process for Modelling a Third-party Logistics (3PL) Company
(Old City Publishing Inc, 2017)The Fuzzy Analytic Network Process (ANP) is generally used for solving multi-criteria decision making (MCDM) problems by considering the pairwise comparison between criteria/sub-criteria, and inner/outer dependencies among ... -
An Estimation Method of Membership Function for Given Fuzzy Data
(Yildiz Technical University, 2017)In the present study for given fuzzy data an estimation method based on Max(F)Ent measure and generalized entropy optimization methods is suggested. A set of successive values of estimated membership function is defined ... -
Spatial Analysis of Unemployment Rate with Literacy Rate and Socioeconomic Development Index for cities of Turkey
(Int Business Information Management Assoc-Ibima, 2015)The objective of the study is to investigate the spatial pattern of unemployment rate with socio economic development index (SDI) and literacy rate for 81 cities of Turkey and also the spatial correlation between these ... -
Distributions of Wind Speed at Different Heights
(IEEE, 2016)In this study, the parameters of different distributions such as the Weibull, Rayleigh, Lognormal, Gamma and Generalized Gamma, which are used for modelling wind speed, at the different heights 10 and 30 m, have been ... -
A Comparison Study of Performance Measures and Length of Intervals in Fuzzy Time Series by Neural Networks
(World Scientific Publ Co Pte LTD, 2009)Deciding length of intervals and choosing performance measures have important issues to forecast fuzzy time series. Many forecasting studies accept MSE(Mean squared error) for performance measure and use only one kind of ... -
Time Series Forecasting Using a Hybrid Neural Networks and Nonparametric Regression Model
(Isoss Publ, 2014)The focus in this paper embraces the hybrid models whose components are nonparametric regression and artificial neural networks. Smoothing spline, regression spline and additive regression models are considered as the ...