Estimation of wind speed distribution using Markov chain Monte Carlo techniques

The Weibull distribution is the most commonly used statistical distribution for describing wind speed data. In this paper, Markov chain Monte Carlo techniques are used to carry out a Bayesian estimation procedure using wind speed data obtained from the Observatory of Hong Kong.

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Bibliographic Details
Published inJournal of applied meteorology and climatology Vol. 40; no. 8; p. 1476
Main Authors Wan-Kai, Pang, ster, Jonathan J, Troutt, Marvin D
Format Journal Article
LanguageEnglish
Published Boston American Meteorological Society 01.08.2001
Subjects
Markov chains
Meteorology
Monte Carlo simulation
Statistical analysis
Wind
Wind speed
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Summary:The Weibull distribution is the most commonly used statistical distribution for describing wind speed data. In this paper, Markov chain Monte Carlo techniques are used to carry out a Bayesian estimation procedure using wind speed data obtained from the Observatory of Hong Kong.
ISSN:1558-8424
1558-8432