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
شماره ركورد
36028
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.
From Page
93
NaturalLanguageKeyword
Time Series Analysis , Radon Gas (222Rn) , ARIMA
JournalTitle
Süleyman Demirel University Faculty of Arts and Science Journal of Science
To Page
99
JournalTitle
Süleyman Demirel University Faculty of Arts and Science Journal of Science
Link To Document