@article{
 title = {Probability modeling of monthly maximum sustained wind speed in Bangladesh},
 type = {article},
 year = {2019},
 keywords = {Bangladesh,Maximum likelihood method,Newton-Raphson technique,Probability density function,Wind speed},
 pages = {75-84},
 volume = {7},
 publisher = {International Academic Press},
 id = {1931de08-7bdc-333b-92b4-fedb27a349d7},
 created = {2020-11-12T21:39:37.891Z},
 file_attached = {true},
 profile_id = {3d6b17c2-7de8-3a82-bf4f-ddb0e3081e5f},
 last_modified = {2021-05-05T16:05:40.383Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {Wind speed is one the most important parameter of wind energy. However, the probability density functions (pdfs) are usually used to describe the characteristics of wind speed. In literature, several pdfs have been investigated to justify the suitability of modeling the wind speed in different regions all over the world. Therefore, the choice of the pdf is very crucial. This paper, firstly find the estimates of the parameters of all probability distribution considered in this study to describe wind speed characteristics by using the maximum likelihood method and iterations were carried out with Newton- Raphson technique. Finally, the appropriate pdf for monthly maximum sustained wind speed at Coxs Bazar in Bangladesh is selected with the help of the KolmogorovCSmirnov statistic, the coefficient of determination (R 2 ), the Chi-square (χ 2 ) statistic, Root mean square error (RMSE), AIC and BIC. Here, results depict that, among the distributions considered in this study, the Skewed t (ST) distribution provides the best fit to the wind speed data.},
 bibtype = {article},
 author = {Hossain, Md Moyazzem},
 doi = {10.19139/soic.v7i1.567},
 journal = {Statistics, Optimization and Information Computing},
 number = {1}
}

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In literature, several pdfs have been investigated to justify the suitability of modeling the wind speed in different regions all over the world. Therefore, the choice of the pdf is very crucial. This paper, firstly find the estimates of the parameters of all probability distribution considered in this study to describe wind speed characteristics by using the maximum likelihood method and iterations were carried out with Newton- Raphson technique. Finally, the appropriate pdf for monthly maximum sustained wind speed at Coxs Bazar in Bangladesh is selected with the help of the KolmogorovCSmirnov statistic, the coefficient of determination (R 2 ), the Chi-square (χ 2 ) statistic, Root mean square error (RMSE), AIC and BIC. Here, results depict that, among the distributions considered in this study, the Skewed t (ST) distribution provides the best fit to the wind speed data.","bibtype":"article","author":"Hossain, Md Moyazzem","doi":"10.19139/soic.v7i1.567","journal":"Statistics, Optimization and Information Computing","number":"1","bibtex":"@article{\n title = {Probability modeling of monthly maximum sustained wind speed in Bangladesh},\n type = {article},\n year = {2019},\n keywords = {Bangladesh,Maximum likelihood method,Newton-Raphson technique,Probability density function,Wind speed},\n pages = {75-84},\n volume = {7},\n publisher = {International Academic Press},\n id = {1931de08-7bdc-333b-92b4-fedb27a349d7},\n created = {2020-11-12T21:39:37.891Z},\n file_attached = {true},\n profile_id = {3d6b17c2-7de8-3a82-bf4f-ddb0e3081e5f},\n last_modified = {2021-05-05T16:05:40.383Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Wind speed is one the most important parameter of wind energy. 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