Browsing İstatistik Bilim Dalı by Issue Date

Now showing items 1-17 of 17

Forecasting The Natural Gas Demand At New Locations A Case Study For Turkey

Türker Bayrak, Özlem; Köksal, Gülser; Okandan, Ender (2005)
Sample design and allocation for random digit dialling

Ayhan, H. Öztaş; Islam, M. Qamarul (Springer, 2005-10)

Sample design and sample allocation methods are developed for random digit dialling in household telephone surveys. The proposed method is based on a two-way stratification of telephone numbers. A weighted probability ...
Inter-laboratory comparison scheme for fuel sector, LABKAR in Turkey

Bayrak, Özlem Türker; Okandan, Ender; Üçkardeş, Hale (Springer, 2009-08)

Fuel sector is one of the powerful sectors in Turkish industry. The implementation of a new law for regulating the fuel sector had enforced the quality control of fuels sold to public. This resulted in several accredited ...
Classification Models Based On Tanaka's Fuzzy Linear Regression Approach: the Case of Customer Satisfaction Modeling

Bayrak, Özlem Türker (IOS Press, 2010)

Fuzzy linear regression (FLR) approaches are widely used for modeling relations between variables that involve human judgments, qualitative and imprecise data. Tanaka's FLR analysis is the first one developed and widely ...
Electricity Price Modelling for Turkey

Yıldırım, Miray Hanım; Bayrak, Özlem Türker; Weber, Gerhard Wilhelm; Özmen, Ayşe (Springer-Verlag Berlin, 2012)

This paper presents customized models to predict next-day's electricity price in short-term periods for Turkey's electricity market. Turkey's electricity market is evolving from a centralized approach to a competitive ...
Survey and evaluation on modelling of next-day electricity prices

Yıldırım, Miray Hanım; Bayrak, Özlem Türker; Weber, Gerhard-Wilhelm (2014)
Global Krizler için Doğrusal Profillere Dayalı Kontrol Şemaları ile Oluşturulan Erken Uyarı Sistemi

Türker Bayrak, Özlem; Aytaçoğlu, Burcu; Yüksel Haliloğlu, Ebru (2015)
Linear contrasts in one-way classification AR(1) model with gamma innovations

Şenoğlu, Birdal; Bayrak, Özlem Türker (Hacettepe Univ, Fac Sci, 2016-12)

In this study, the explicit estimators of the model parameters in oneway classification AR(1) model with gamma innovations are derived by using modified maximum likelihood (MML) methodology. We also propose a new test ...
Assessment of the Use of AutoCAD in Mechanical Engineering Technical Drawing Education

Akyürek, Turgut (2017)

: AutoCAD is one of the widely used software tools in engineering education. In this study, a general assessment of AutoCAD for the usage in the mechanical engineering technical drawing education is made. AutoCAD is ...
A New Estimation Technique for AR(1) Model with Long-Tailed Symmetric Innovations

Dener Akkaya, Ayşen; Türker Bayrak, Özlem (2017)

In recent years, it is seen in many time series applications that innovations are non-normal. In this situation, it is known that the least squares (LS) estimators are neither efficient nor robust and maximum likelihood ...
A New Estimation Technique for AR(1) Model with Long-Tailed Symmetric Innovations

Dener Akkaya, Ayşen; Türker Bayrak, Özlem (Springer, 2018)

In recent years, it is seen in many time series applications that innovations are non-normal. In this situation, it is known that the least squares (LS) estimators are neither efficient nor robust and maximum likelihood ...
Inference of Autoregressive Model with Stochastic Exogenous Variable Under Short-Tailed Symmetric Distributions

Bayrak, Özlem Türker; Dener Akkaya, Ayşen (Springer International Publishing AG, 2018-12)

In classical autoregressive models, it is assumed that the disturbances are normally distributed and the exogenous variable is non-stochastic. However, in practice, short-tailed symmetric disturbances occur frequently and ...
Effect of Estimation on Simple Linear Profile Monitoring under Non-normality

Aytaçoğlu, Burcu; Türker Bayrak, Özlem (2019)

In recent years, many control charts have been proposed to monitor profiles where the quality of a process/product is expressed as function of response and explanatory variable(s). The methods mostly assume that the ...
Linear Profile Monitoring Adapted to Construct Early Warning System in Economics: A Pilot Study From Energy Sector

Türker Bayrak, Özlem; Aytaçoğlu, Burcu; Yüksel Haliloğlu, Ebru (2019)

In this study, control charts for monitoring linear profiles are adopted to early warning system (EWS) to see if global crises can be detected before they occur so that preventive actions can be taken by the policy makers. ...
Adaptive Estimation of Autoregressive Models Under Long-Tailed Symmetric Distribution

Yengür, Begüm; Bayrak, Özlem Türker; Dener Akkaya, Ayşen (Association for Computing Machinery, 2019-07-08)

In this paper, we consider the autoregressive models where the error term is non-normal; specifically belongs to a long-tailed symmetric distribution family since it is more relevant in practice than the normal distribution. ...
Effect of estimation under nonnormality on the phase II performance of linear profile monitoring approaches

Aytaçoğlu, Burcu; Bayrak, Özlem Türker (Wiley, 2019-11)

The number of studies about control charts proposed to monitor profiles, where the quality of a process/product is expressed as function of response and explanatory variable(s), has been increasing in recent years. However, ...
Estimation of AR(1) Model Having Generalized Logistic Disturbances

Akkaya, Ayşen; Türker Bayrak, Özlem (2020)

Non-normality is becoming a common feature in real life applications. Using non-normal disturbances in autoregressive models induces non-linearity in the likelihood equations so that maximum likelihood estimators cannot ...

Now showing items 1-17 of 17

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