مشخصات پژوهش

عنوان	A Bayesian Updating Applied to Earthquake Ground-Motion Prediction Equations for Iran
نوع پژوهش	مقاله چاپ‌شده در مجلات علمی
کلیدواژه‌ها	ground-motion, prediction equation, Bayesian updating, uncertainty, ranking
چکیده	This paper presents new ground-motion prediction equations for three distinct seismic regions of Iran via updating the previous global model using observed data for each region by means of Bayesian updating. The Bayesian theory has the advantage that it results in more accurate results even in situations when little data is available. This leads the way for updating global models to obtain new local models for seismotectonic regions with little available data like Iran. The proposed updated model was compared against currently available models for Iran and the results reveal the overall stability and quality performance of the proposed model.
پژوهشگران	آزاد یزدانی (نفر دوم)، محمد صادق شهیدزاده (نفر اول)