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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| Published in | Journal of applied meteorology and climatology Vol. 40; no. 8; p. 1476 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Boston
American Meteorological Society
01.08.2001
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| Subjects | |
| Online Access | Get full text |
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| Abstract | 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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| AbstractList | 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. |
| Author | Troutt, Marvin D Wan-Kai, Pang ster, Jonathan J |
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| Copyright | Copyright American Meteorological Society Aug 2001 |
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| Snippet | The Weibull distribution is the most commonly used statistical distribution for describing wind speed data. In this paper, Markov chain Monte Carlo techniques... |
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| SubjectTerms | Markov chains Meteorology Monte Carlo simulation Statistical analysis Wind Wind speed |
| Title | Estimation of wind speed distribution using Markov chain Monte Carlo techniques |
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