Güncel Gönderiler: Fakülteler
Toplam kayıt 10075, listelenen: 5401-5420
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Design of Fuzzy u Control Charts
(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 ... -
Comparison of six different parameter estimation methods in wind power applications
(2011)In this paper, the different parameter estimation methods such as maximum likelihood method, least square method, weighted least square method, moments method, the method based on quantiles and maximum spacing method for ... -
Forecasting neural network-based fuzzy time series with different neural network models
(2011)Fuzzy approach and artificial neural networks become effective tool for researchers by forecasting fuzzy time series. The relation of these has advantage to improve forecasting performance especially in handling nonlinear ... -
An application of various nonparametric techniques by nonparametric regression splines
(2012)In this paper we made a comparison study between regression spline, penalized spline, and their Bayesian versions: adaptive Bayesian regression spline and Bayesian penalized spline with a different number of observations. ... -
An empirical study of fuzzy approach with artificial neural network models
(2012)Time series forecasting based on fuzzy approach by using artificial neural networks is a significant topic in many scientific areas nowadays. Artificial neural network models are sufficient due to their abilities to solve ... -
The usage of influence diagram for decision making in textiles
(2012)Naturally, managers are frequently faced with decision making processes. The optimal solution of the decision making process rises to the for which in itself depends on the number of decision alternatives and state of the ... -
Analyzing family planning by logistic regression
(2013)The importance of family planning is rising for countries whose population are too young or old and where infant mortality is high. There are several factors on family planning which is having the desired number of children ... -
On developed estimation methods via unique and multiple parametrization
(2012)In the present study, two methods, based on entropy optimization principle, to estimate missing (or forecasting) values in the given time series are suggested. In the first method successively replaces the missing values ... -
Estimator based on percentiles for log-logistic distribution
(2012)In this study, we consider the estimator based on percentiles for log-logistic distribution similar to the study of [6] and we also graph breakdown plots of the estimators that are considered below to have an opinion about ... -
The empirical performances of the selection criteria for nonparametric regression using smoothing spline
(World Scientific and Engineering Academy and Society, 2006)In this paper, the smoothing parameter selection problem has been examined in nonparametric regression using smoothing spline method for different data sets. For that reason a Monte Carlo simulation study has been performed ... -
Investigation of house price in Eskisehir (Turkey) by using semiparametric additive regression model
(World Scientific and Engineering Academy and Society, 2006)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 ... -
The distribution of minimizing maximum entropy: Alternative to Weibull distribution for wind speed
(2006)In the present study, we have constructed MinMaxEnt distribution alternative to the Weibull distribution for the wind speed. MinMaxEnt distribution minimizes the special maximum entropy functional in the concrete set of ... -
Statistical methods and artificial neural networks
(2006)Artificial Neural Networks and statistical methods are applied on real data sets for forecasting, classification, and clustering problems. Hybrid models for two components are examined on different data sets; tourist arrival ... -
An improved version of backpropagation algorithm with effective dynamic learning rate and momentum
(2006)An improvement of backpropagation algorithm with momentum is introduced. Local quadratic approximation of the error function is performed at every stage of the learning process and the Hessian matrix of the quadratic error ... -
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 ... -
The individuals control chart in case of non-normality
(2006)This article examines the effects of non-normality as measured by skewness and provides an alternative method of designing individuals control chart with non-normal distributions. A skewness correction method for constructing ... -
A Fano-Huffman based statistical coding method
(Wayne State University, 2007)Statistical coding techniques have been used for lossless statistical data compression, applying methods such as Ordinary, Shannon, Fano, Enhanced Fano, Huffman and Shannon-Fano-Elias coding methods. A new and improved ... -
Examining cronbach alpha, theta, omega reliability coefficients according to the sample size
(Wayne State University, 2007)Differentiations according to the sample size of different reliability coefficients are examined. It is concluded that the estimates obtained by Cronbach alpha and teta coefficients are not related with the sample size, ... -
Comparisons of the Turkish, English, German, French, Russian and Spanish languages for communications of same semantic content
(2006)The language itself may be regarded as a code for certain conceptual entities. From this point of view, in this study comparisons of the Turkish, English, German, French, Russian and Spanish languages considered as alternate ... -
A comparative study of hybrid, neural networks and nonparametric regression models in time series prediction
(2009)This paper presents a comparative study of the hybrid models, neural networks and nonparametric regression models in time series forecasting. The components of these hybrid models are consisting of the nonparametric ...
