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KARŞILAŞTIRMALI OLARAK FONKSİYONEL ANA BİLEŞENLER ANALİZİ VE GSYİH VERİLERİNİN İNCELENMESİ

FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS: INVESTIGATION OF GDP DATA

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Abstract (2. Language): 
In this study, Principal Components and Functional Principal Components Analyses discussed comparatively. Gross Domestic Product (GDP) data is analyzed by Functional Principal Component Analysis and the advantages of dealing data in a functional way is presented. GDP data (between 1987 and 2001) for seven regions of Turkey is studied by Functional Principal Component Analysis, it is found that %99 of the variation structure can be explained by the first principal component function. It is also revealed that the variation between regions began to increase after the year 1996. However, it began to decrease rapidly after year 2000.
Abstract (Original Language): 
Bu çalışmada öncelikle Ana Bileşenler ve Fonksiyonel Ana Bileşenler Analizi karşılaştırmalı olarak ele alınmış ve ekonomik gelişmenin bir göstergesi olan Gayri Safi Yurt İçi Hasıla (GSYİH) verileri Fonksiyonel Ana Bileşenler Analizi ile incelenerek verileri fonksiyonel açıdan ele almanın avantajları sunulmuştur. Fonksiyonel Ana Bileşenler Analizi ile 1987-2001 yılları arasında ülkemizdeki 7 bölgenin GSYİH verilerinin değişkenlik yapısı %99 gibi çok yüksek bir varyans açıklama yüzdesine sahip birinci ana bileşen fonksiyonuyla ortaya konulmuştur. Bu ana bileşen fonksiyonun yardımıyla GSYİH açısından bölgeler arasındaki değişkenliğin 1996 yılından sonra bir artışa geçtiği, ancak 2000 yılının ortalarından sonra da tekrar azalmaya başladığı tespit edilmiştir.
915-928

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