Sürekli Değişkenler İçeren Grafiksel Modellerde Kullanılan Sapma ve F- İstatistiklerinin Karşılaştırılması

Çok değişkenli normal dağılıma sahip değiskenler için kullanılan grafiksel modeller kovanyans seçimli modeller olarak adlandırılır. Böyle modeller değişken çiftlerinin koşullu bağımsızlığına dayanarak belirlenir. Bu çalışmada kovanyans seçimli modeller için test işleminde kullanılan sapma ve F istatistikleri farklı örmek çaplar, değişken savları ve koşullu bağımsızlık yapıları altında simülasyon yoluyla karşılaştırılmıştır.

Comparison of Deviance and F Statistics Used in Graphical Models Contains Continuous Variables

Graphical models for variables, which was distributed multinormal is called covariance selection models. Covariance selection models were determined by condicional independences. In this study, deviance and F, which is used to rest conditional independences, is compared under different sample size, different number of variables and different conditional independence structures by simulation.

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