Zobrazeno 1 - 10
of 73 731
pro vyhledávání: '"Negative binomial regression"'
Autor:
Joseph M. Hilbe
This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literatu
Autor:
Zhou, Wanwan1 (AUTHOR), Huang, Daizheng2 (AUTHOR), Liang, Qiuyu3 (AUTHOR), Huang, Tengda1 (AUTHOR), Wang, Xiaomin1 (AUTHOR), Pei, Hengyan1 (AUTHOR), Chen, Shiwen1 (AUTHOR), Liu, Lu1 (AUTHOR), Wei, Yuxia1 (AUTHOR), Qin, Litai1 (AUTHOR), Xie, Yihong1 (AUTHOR) gxxieyihong@163.com
Publikováno v:
BMC Infectious Diseases. 9/19/2024, Vol. 24 Issue 1, p1-11. 11p.
Publikováno v:
Mathematics (2227-7390). Sep2024, Vol. 12 Issue 17, p2674. 23p.
Autor:
Wanwan Zhou, Daizheng Huang, Qiuyu Liang, Tengda Huang, Xiaomin Wang, Hengyan Pei, Shiwen Chen, Lu Liu, Yuxia Wei, Litai Qin, Yihong Xie
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background It is difficult to detect the outbreak of emergency infectious disease based on the exiting surveillance system. Here we investigate the utility of the Baidu Search Index, an indicator of how large of a keyword is in Baidu’s sea
Externí odkaz:
https://doaj.org/article/b811d078db3d4736837a8abeeaa64114
Autor:
Endawkie, Abel1 (AUTHOR) abelendawkie@gmail.com, Kebede, Natnael2 (AUTHOR), Asmamaw, Desale Bihonegn3 (AUTHOR), Tsega, Yawkal4 (AUTHOR)
Publikováno v:
PLoS ONE. 10/22/2024, Vol. 19 Issue 10, p1-16. 16p.
Autor:
Lukman, Adewale F.1 (AUTHOR) adewale.lukman@und.edu, Albalawi, Olayan2 (AUTHOR) oalbalwi@ut.edu.sa, Arashi, Mohammad3,4 (AUTHOR) arashi@um.ac.ir, Allohibi, Jeza5 (AUTHOR) jlohibi@taibahu.edu.sa, Alharbi, Abdulmajeed Atiah5 (AUTHOR) aahharbi@taibahu.edu.sa, Farghali, Rasha A.6 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Sep2024, Vol. 12 Issue 18, p2929. 16p.
General purpose optimization routines such as nlminb, optim (R) or nlmixed (SAS) are frequently used to estimate model parameters in nonstandard distributions. This paper presents Particle Swarm Optimization (PSO), as an alternative to many of the cu
Externí odkaz:
http://arxiv.org/abs/2405.12386