Başlık için İstatistik Bölümü listeleme
Toplam kayıt 170, listelenen: 55-74
-
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 ... -
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 ... -
Eskişehir il merkezinde doğal gaza geçiş konusundaki eğilimlerin istatistiksel tekniklerle araştırılması
(1996)1996 yılının ikinci yarısından başlamak üzere Eskişehir'de aşamalı olarak doğal gaz kullanımına geçilecektir. Bu çalışmada doğal gaz kullanımına geçilmeden önce, şehir sakinlerinin konuya ilişkin ilgi düzeyleri, düşünce ... -
Estimating the location and scale parameters of the Weibull distribution: An application from engineering
(Acta Press Anaheim, 2007)There exist various methods for estimating the location and scale parameters of the Weibull distribution. The maximum likelihood estimators (MLE), moment estimators (ME), generalized spacing estimators (GSE), modified ... -
Estimating variances inweighted least-squares estimation of distributional parameters
(Association for Scientific Research, 2016)Many estimation methods have been proposed for the parameters of statistical distribution. The least squares estimation method, based on a regression model or probability plot, is frequently used by practitioners since its ... -
Estimation by combining MinxEnt principle and time series analysis
(2006)In this study, the proportions of electricity consumption of Turkey in 2006 with respect of some sectors are estimated by using Kullback's Minimum Cross-Entropy (MinxEnt) Principle. In order to realize mentioned estimation ... -
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 ... -
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 ... -
Estimation of Censored Regression Model in the Case of Non-Normal Error
(Yildiz Technical University, 2018)For the censored regression model, it is well-known that while classical least squares estimation yields biased and nonconsistent estimator, maximum likelihood estimator (MLE) is consistent and efficient. Tobit estimator ... -
Estimation of clearness index model via CRS, TPRS and mars
(2011)Nonparametric approach is more flexible than parametric approach in assuming that f belongs to a smooth family of functions. Hence, a nonparametric approach does not require an assumption of linearity. Based on our motivating ... -
Estimation of Clearness Index Model Via Crs, Tprs and Mars
(Isoss Publ, 2011)Nonparametric approach is more flexible than parametric approach in assuming that f belongs to a smooth family of functions. Hence, a nonparametric approach does not require an assumption of linearity. Based on our motivating ... -
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 ... -
Evaluation of robust estimation methods in estimating weibull parameters for wind energy application
(Association for Computing Machinery, 2015)Two-parameter Weibull distribution has been widely-used reference distribution in wind energy studies and thus its parameter estimation methods have been well-studied in the literature. However, the literature have generally ... -
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, ... -
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 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 ... -
Farklı Olasılık Yoğunluk Fonksiyonları Kullanarak Rüzgar Gücü Potansiyelinin Tahmini
(2016)Sürekli rassal değişken olarak kabul edilen rüzgâr hızı istatistiksel dağılımlarla karakterize edilir ve ortalama rüzgâr gücü tahminleri yapılır. Weibull dağılımı rüzgar enerjisi alanında kabul edilmiş dağılımdır. Ancak ... -
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 ... -
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 ... -
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 ...