Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Huan Bin Liu"'
Autor:
Hong Wang, Huan Bin Liu
Publikováno v:
Measurement + Control, Vol 43 (2010)
Externí odkaz:
https://doaj.org/article/63ca9ffc83104af78e370dc25a2d30a3
Publikováno v:
In Materials Chemistry and Physics 2005 91(2):317-324
Publikováno v:
Acta Mathematicae Applicatae Sinica, English Series. 32:221-230
Recurrent events data and gap times between recurrent events are frequently encountered in many clinical and observational studies, and often more than one type of recurrent events is of interest. In this paper, we consider a proportional hazards mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fef80f260f428759186a330900b0ed87
https://doi.org/10.1007/s10255-016-0551-3
https://doi.org/10.1007/s10255-016-0551-3
Publikováno v:
Artificial Intelligence Science and Technology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b17b901caaa63c815d71461e9c97d3c2
https://doi.org/10.1142/9789813206823_0037
https://doi.org/10.1142/9789813206823_0037
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
Infrared distance measurement has been widely used in the actual industrial production. In order to improve the automation of the ranging mode and sensitivity of intelligent control, this paper combines the infrared sensor technology and electronic a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c2b518b087671eb4ba5af2a8281da4c
https://doi.org/10.12783/dtcse/aice-ncs2016/5607
https://doi.org/10.12783/dtcse/aice-ncs2016/5607
Publikováno v:
Applied Mechanics and Materials. :86-89
With the development of biology, medical statistics and economy, the study of recurrent event data has made great progress. Many important statistical models of failed time and recurrence process are established. In this paper, we study a joint model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6d77efe01b084a50d8352666af6846d
https://doi.org/10.4028/www.scientific.net/amm.631-632.86
https://doi.org/10.4028/www.scientific.net/amm.631-632.86
Publikováno v:
Applied Mechanics and Materials. :90-93
Recurrent events data refers to the observation of individuals, which contains the recurrent event time of interest. In this paper, we focus on the statistical analysis of recurrent event, and present a composite model based on the proportional inten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f86c7513e001717f7a5aa98927acd4f
https://doi.org/10.4028/www.scientific.net/amm.631-632.90
https://doi.org/10.4028/www.scientific.net/amm.631-632.90
Publikováno v:
Applied Mechanics and Materials. :3-6
This paper mainly discusses a composite model which the end time is an additive hazard function and the recurrent event process is a proportional intensity function, the covariate is time-independent, and censoring is dependent on recurrent events pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd6065cdd0c5b6f5db50a141919d2184
https://doi.org/10.4028/www.scientific.net/amm.631-632.3
https://doi.org/10.4028/www.scientific.net/amm.631-632.3
Publikováno v:
Applied Mechanics and Materials. :27-30
Recurrent events data refers to the observation of individuals, which contains the recurrent event time of interest. This paper mainly discusses a joint model when the end time is a multiplicable hazard function and the recurrent event process is a m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ae2cb14f13407ac954375af9785f8d9
https://doi.org/10.4028/www.scientific.net/amm.631-632.27
https://doi.org/10.4028/www.scientific.net/amm.631-632.27
Publikováno v:
Applied Mechanics and Materials. 596:301-304
This paper provides the E-Bayes estimation and hierarchical Bayes estimation of Laplace distribution parameter under q-symmetric entropy loss function when the prior distribution is Beta distribution. The relation between E-Bayes estimation and hiera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ed879f0a86949278ed76a1ccfe5e5ae
https://doi.org/10.4028/www.scientific.net/amm.596.301
https://doi.org/10.4028/www.scientific.net/amm.596.301