Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Saifaldin Hashim Kamar"'
Publikováno v:
Journal of Probability and Statistics, Vol 2020 (2020)
The Weibull growth model is an important model especially for describing the growth instability; therefore, in this paper, three methods, namely, generalized maximum entropy, Bayes, and maximum a posteriori, for estimating the four parameter Weibull
Externí odkaz:
https://doaj.org/article/0e15391d571848b6af0261ee6a2c9880
Publikováno v:
Journal of Research on the Lepidoptera. 51:182-194
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e0e12bd4a25fd339930de7d858584f5
https://doi.org/10.36872/lepi/v51i2/301087
https://doi.org/10.36872/lepi/v51i2/301087
Publikováno v:
Journal of Probability and Statistics, Vol 2020 (2020)
The Weibull growth model is an important model especially for describing the growth instability; therefore, in this paper, three methods, namely, generalized maximum entropy, Bayes, and maximum a posteriori, for estimating the four parameter Weibull
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f109a8b4ba3fc3eaabeb1d0cce810db8
https://doi.org/10.1155/2020/7967345
https://doi.org/10.1155/2020/7967345
Publikováno v:
Journal of Southwest Jiaotong University. 55
It is well known that the Generalized Maximum Entropy method can be used to fit linear regression models, especially as they are not restricted by the conditions to be verified as are other classical methods. Therefore, in this paper, a new method fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ade28e18f31c0d4109e3781aabbf8857
https://doi.org/10.35741/issn.0258-2724.55.1.37
https://doi.org/10.35741/issn.0258-2724.55.1.37
Publikováno v:
Journal of Physics: Conference Series. 1897:012001
It is well-known that grey system theory was put forward in the statistical literature to overcome the problem of partially unknown parameters, therefore it is given the attention of the researchers in many scientific areas. Therefore, many methods h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a7ecbcb4154d5a3a5a3a7fb583447ba
https://doi.org/10.1088/1742-6596/1897/1/012001
https://doi.org/10.1088/1742-6596/1897/1/012001