Kurum Yazarı "Yazıcı, Berna" Makale Koleksiyonu İçin Listeleme
-
Analysis of international debt problem using artificial neural networks and statistical methods
Yazıcı, Berna; Memmedli, Memmedaga; Aslanargun, Atilla; Asma, Senay (Springer, 2010)It is known from the scientific researches that artificial neural networks are alternatives of statistical methods such as regression analysis and classification in recent years. Since multi-layer backpropagation neural ... -
Asymmetric control limits for small samples
Yazıcı, Berna; Kan Kılınç, Betül (Springer, 2009)When designing control charts, it is usually assumed that the measurement in the subgroups are normally distributed. The assumption of normality implies that the control limits for a chart for sample averages will be ... -
Comparison of ARIMA, neural networks and hybrid models in time series: tourist arrival forecasting
Aslanargun, Atilla; Mammadov, Mammadagha; Yazıcı, Berna; Yolacan, Senay (Taylor & Francis LTD, 2007)For time series forecasting, different artificial neural network (ANN) and hybrid models are recommended as alternatives to commonly used autoregressive integrated moving average (ARIMA) models. Recently, combined models ... -
Comparison of confidence intervals for the Behrens-Fisher problem
Sezer, Ahmet; Özkip, Evren; Yazıcı, Berna (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 ... -
Comparison of goodness-of-fit measures in probit regression model
Yazıcı, Berna; Alpu, özlem; Yang, Yaning (Taylor & Francis Inc, 2007)This article examines several goodness-of-fit measures in the binary probit regression model. Existing pseudo-R-2 measures are reviewed, two modified and one new pseudo-R-2 measure are proposed. For the probit regression ... -
Comparison of regression models in case of non-normality and Heteroscedasticity
Kahvecioğlu, Seray; Yazıcı, Berna (Inst Advanced Science Extension, 2016)In regression analysis, in case of comparing two regression models and coefficients where the distribution of variables in question is not known, generalized p values may be used. The generalized p value is an extended ... -
Comparison of the results of factorial experiments, fractional factorial experiments, regression trees and MARS for fuel consumption data
Kan Kılınç, Betül; Yazıcı, Berna (2010)In this study effects that are significant on the fuel consumption of F-4 aircrafts are analyzed by using different statistical methods and the results of those different methods are compared. The response variable of every ... -
A comparison of various tests of normality
Yazıcı, Berna; Yolacan, Senay (Taylor & Francis LTD, 2007)This article studies twelve different normality tests that are used for assessing the assumption that a sample was drawn from a normally distributed population and compares their powers. The tests in question are chi-square, ... -
Determining the problems of disabled employees: a survey study conducted in Eskisehir, Turkey
Yazıcı, Berna; Şişman, Yener; Kocabaş, Fatma (Routledge Journals, Taylor & Francis LTD, 2011)In this study, disabled people, employed using a policy based quota method, were asked about their working lives by means of a survey. In order to do this, the population was defined as disabled people working for companies ... -
Estimation of clearness index model via CRS, TPRS and mars
Alpu, Özlem; Kan Kılınç, Betül; Yazıcı, Berna (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
Alpu, Özlem; Kan Kılınç, Betül; Yazıcı, Berna (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 ... -
Examining cronbach alpha, theta, omega reliability coefficients according to the sample size
Ercan, İlker; Yazıcı, Berna; Sigirli, D.; Ediz, B.; Kan, I. (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, ... -
The individuals control chart in case of non-normality
Kan Kılınç, Betül; Yazıcı, Berna (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 ... -
The individuals control charts for burr distributed and Weibull distributed data
Kan Kılınç, Betül; Yazıcı, Berna (2006)Constructing the control limits supposes the assumption of the normality. However, there are numerous studies on the control charts when the underlying distribution is non-normal. Several authors have investigated the ... -
Modelling Extreme Rainfalls Using Generalized Additive Models for Location, Scale and Shape Parameters
Sezer, Ahmet; Kan Kılınç, Betül; Yazıcı, Berna (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). ... -
Modi?ed tests for comparison of group means under heteroskedasticity and non-normality caused by outlier(s)
Çavuşoğlu, Mustafa; Yazıcı, Berna; Sezer, Ahmet (2017)There are several approximate tests proposed such as Welch's F-test (W), the Parametric Bootstrap Test (PB) and Generalized F-test (GF) for comparing several group means under heteroskedasticity. These tests are powerful ... -
Modified generalized p-value and confidence interval by Fisher's fiducial approach
Ozkip, Evren; Yazıcı, Berna; Sezer, Ahmet (Hacettepe University, Fac Sci, 2017)In this study, we develop two simple generalized confidence intervals for the difference between means of two normal populations with heteroscedastic variances which is usually referred to as the Behrens-Fisher problem. ... -
Modified tests for comparison of group means under heteroskedasticity and non-normality caused by outlier(s)
Çavuş, Mustafa; Yazıcı, Berna; Sezer, Ahmet (Hacettepe University, Fac Sci, 2017)There are several approximate tests proposed such as Welch's F-test (W), the Parametric Bootstrap Test (PB) and Generalized F-test (GF) for comparing several group means under heteroskedasticity. These tests are powerful ... -
Robust ridge and robust Liu estimator for regression based on the LTS estimator
Kan Kılınç, Betül; Alpu, Özlem; Yazıcı, Berna (Taylor & Francis LTD, 2013)In the multiple linear regression analysis, the ridge regression estimator and the Liu estimator are often used to address multicollinearity. Besides multicollinearity, outliers are also a problem in the multiple linear ... -
Statistical methods and artificial neural networks
Mammadov, Mammadağha; Yazıcı, Berna; Yolaçan, Ş.; Aslanargun, A.; Yüzer, Ali Fuat; Ağaoğlu, E. (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 ...