applying semi-markov models for forecasting the triple dimensions of next earthquake occurrences: with case study in iran area

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ID: 148565
2008
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Ranked #18 of 23 articles by views in Canadian journal of public health = Revue canadienne de sante publique

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Abstract
In this paper Semi-Markov models are used to forecast the triple dimensions of next earthquake occurrences. Each earthquake can be investigated in three dimensions including temporal, spatial and magnitude. Semi-Markov models can be used for earthquake forecasting in each arbitrary area and each area can be divided into several zones. In Semi-Markov models each zone can be considered as a state of proposed Semi-Markov model. At first proposed Semi-Markov model is explained to forecast the three mentioned dimensions of next earthquake occurrences. Next, a zoning method is introduced and several algorithms for the validation of the proposed method are also described to obtain the errors of this method.
Reference Key
sadeghian2008internationalapplying Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;R. Sadeghian;G.R. Jalali-Naini;J. Sadjadi;N. Hamidi Fard
Journal Canadian journal of public health = Revue canadienne de sante publique
Year 2008
DOI
DOI not found
URL
http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-1-7&slc_lang=en&sid=1
Keywords
semi-markov model karakaisis zoningtechnology

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