Author/Authors :
Kamışlıoğlu, Miraç Fırat Üniversitesi - Fen Fakültesi - Fizik Bölümü, Turkey , Külahcı, Fatih ırat Üniversitesi - Fen Fakültesi - Fizik Bölümü, Turkey , Niksarlıoğlu, Seçil Fırat Üniversitesi - Fen Fakültesi - Fizik Bölümü, Turkey
Title Of Article :
ARIMA Analysis of Soil Radon (222Rn) Gas Anomalies
Abstract :
Time series analysis, has wide applications in statistics, economics, physics and engineering such disciplines. This method used for estimate correctly future values of the variables. In this study, is formed a time series with soil radon gas (222Rn) measurements known as a pioneer of an earthquake. Dynamic system modelling was performed with autoregressive (ARIMA) modelling process by used these measurements. ARIMA; time series analysis is modelled of the recoverable over time a random stochastic (probabilistic) process or its errors. ARIMA model is based on Box-Jenkins model. Box-Jenkins model is a statistically based method which is used forward-looking forecasting and control of univariate time series. The obtained results, ARIMA model is indicating success in predict subject.
NaturalLanguageKeyword :
Time Series Analysis , Radon Gas (222Rn) , ARIMA
JournalTitle :
Süleyman Demirel University Faculty of Arts and Science Journal of Science
