It is valuable in earthquake prediction to determine the occurrence probability of major earthquakes by making use of data obtained from precursory phenomena up to the time of the evaluation. In this study, the time evolution of the state determined by earthquakes and precursory phenomena was modell
β¦ LIBER β¦
Modeling anomalous radar propagation using first-order two-state Markov chains
β Scribed by B. Haddad; A. Adane; F. Mesnard; H. Sauvageot
- Book ID
- 117391014
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 175 KB
- Volume
- 52
- Category
- Article
- ISSN
- 0169-8095
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## Abstract Stochastic Multiβstates Firstβorder Markov Chain (SMFOMC) models have been used to describe occurrence of daily rainfall. This paper describes optimization of SMFOMC parameters through the generation of synthetic daily rainfall sequences. Three SMFOMC parameters were the number of state