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<title>İstatistik Bilim Dalı</title>
<link>http://hdl.handle.net/20.500.12416/4381</link>
<description>İstatistik Bilim Dalı yayınlarını içerir.</description>
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<rdf:li rdf:resource="http://hdl.handle.net/20.500.12416/7598"/>
<rdf:li rdf:resource="http://hdl.handle.net/20.500.12416/7151"/>
<rdf:li rdf:resource="http://hdl.handle.net/20.500.12416/7057"/>
<rdf:li rdf:resource="http://hdl.handle.net/20.500.12416/7054"/>
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<dc:date>2026-10-28T18:12:50Z</dc:date>
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<item rdf:about="http://hdl.handle.net/20.500.12416/7598">
<title>Forecasting The Natural Gas Demand At New Locations A Case Study For Turkey</title>
<link>http://hdl.handle.net/20.500.12416/7598</link>
<description>Forecasting The Natural Gas Demand At New Locations A Case Study For Turkey
Türker Bayrak, Özlem; Köksal, Gülser; Okandan, Ender
</description>
<dc:date>2005-01-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://hdl.handle.net/20.500.12416/7151">
<title>A New Estimation Technique for AR(1) Model with Long-Tailed Symmetric Innovations</title>
<link>http://hdl.handle.net/20.500.12416/7151</link>
<description>A New Estimation Technique for AR(1) Model with Long-Tailed Symmetric Innovations
Dener Akkaya, Ayşen; Türker Bayrak, Özlem
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 (ML) estimators can only be obtained numerically which might be problematic. The estimation problem is considered newly through different distributions by the use of modified maximum likelihood (MML) estimation technique which assumes the shape parameter to be known. This becomes a drawback in machine data processing where the underlying distribution cannot be determined but assumed to be a member of a broad class of distributions. Therefore, in this study, the shape parameter is assumed to be unknown and the MML technique is combined with Huber’s estimation procedure to estimate the model parameters of autoregressive (AR) models of order 1, named as adaptive modified maximum likelihood (AMML) estimation. After the derivation of the AMML estimators, their efficiency and robustness properties are discussed through simulation study and compared with both MML and LS estimators. Besides, two test statistics for significance of the model are suggested. Both criterion and efficiency robustness properties of the test statistics are discussed, and comparisons with the corresponding MML and LS test statistics are given. Finally, the estimation procedure is generalized to AR(q) models.
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<dc:date>2017-01-01T00:00:00Z</dc:date>
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<title>Assessment of the Use of AutoCAD in Mechanical Engineering Technical Drawing Education</title>
<link>http://hdl.handle.net/20.500.12416/7057</link>
<description>Assessment of the Use of AutoCAD in Mechanical Engineering Technical Drawing Education
Akyürek, Turgut
: AutoCAD is one of the widely used software tools in engineering education. In this study, a&#13;
general assessment of AutoCAD for the usage in the mechanical engineering technical drawing education&#13;
is made. AutoCAD is assessed in terms of the fulfilment of the requirements defined for the main two&#13;
technical drawing courses. AutoCAD is assessed in terms of its capability in meeting the requirements of&#13;
the technical drawing courses
</description>
<dc:date>2017-01-01T00:00:00Z</dc:date>
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<item rdf:about="http://hdl.handle.net/20.500.12416/7054">
<title>Global Krizler için Doğrusal Profillere Dayalı Kontrol Şemaları ile Oluşturulan Erken Uyarı Sistemi</title>
<link>http://hdl.handle.net/20.500.12416/7054</link>
<description>Global Krizler için Doğrusal Profillere Dayalı Kontrol Şemaları ile Oluşturulan Erken Uyarı Sistemi
Türker Bayrak, Özlem; Aytaçoğlu, Burcu; Yüksel Haliloğlu, Ebru
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<dc:date>2015-01-01T00:00:00Z</dc:date>
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