
AIMS Energy, 2018, 6(6): 926948. doi: 10.3934/energy.2018.6.926.
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Inverse Loglogistic distribution for Extreme Wind Speed modeling: Genesis, identification and Bayes estimation
1 Department of Industrial Engineering, University of Naples Federico II, Naples, Italy
2 Department of Engineering, University of Naples Parthenope, Naples, Italy
3 Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
Received: , Accepted: , Published:
Topical Section: Wind Energy
Keywords: Bayes estimation; Extreme Wind Speed; Inverse Loglogistic distribution; Inverse Weibull distribution; probability; renewable energy
Citation: Elio Chiodo, Pasquale De Falco, Luigi Pio Di Noia, Fabio Mottola. Inverse Loglogistic distribution for Extreme Wind Speed modeling: Genesis, identification and Bayes estimation. AIMS Energy, 2018, 6(6): 926948. doi: 10.3934/energy.2018.6.926
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