Otoregresif Modellerin Bayes Analizinin Hava Kirliliği Verilerine Uygulaması

Year 2005, Volume: 4 Issue: 1, 1 - 11, 15.04.2005

Mehmet Ali Cengiz , Erol Eğrioğlu

Abstract

Otoregresif (AR) modellerin istatistiksel analizi önemli bir çıkarım problemidir. Çoğu klasik yaklaşımlar, AR modelinin derecesinin belirlenmesinde ve parametrelerin tahmininde geniş olarak kullanılır. Bayesci yaklaşım da her iki amaç içinde kullanılabilir. Bu çalışmada AR modelinin derecesinin belirlenmesinde klasik yaklaşımlar kullanıldı ve Samsun bölgesindeki hava kirliliği verisi için gelecek değerleri tahmin etmede bilgi içermeyen önsellerin kullanımıyla Bayesci yaklaşım incelendi.

Keywords

Otoregresif Model, Bayesci Analiz, Otoregresif Model

Bayesian Analysis of Autoregresive Models With an Application to Air Pollution Data

Abstract

Statistical analysis of autoregressive (AR) models is an important inference problem. Most statistical approaches are widely used in determining the order of the AR model and prediction the parameters. The Bayesian approach can be used for both aim as well. In this study we use the classical approach in determining the order of the AR model and investigate the Bayesian approach with different non-informative priors in predicting future values of the air pollution data for Samsun region.

Keywords

Autoregressive Model, Bayesian Analysis

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