scholarly journals A Bivariate Probability Model Based on the F-G-M Copula

2013 ◽  
Vol 02 (03) ◽  
pp. 61-63
Author(s):  
峰 高
Keyword(s):  
Probability Model ◽  
Model Based ◽  
Bivariate Probability

Growth and moulting of wild-born immature snow crabs, Chionoecetes opilio (Fabricius, 1788) (Decapoda, Majoidea), in the laboratory

Crustaceana ◽  
2015 ◽  
Vol 88 (7-8) ◽  
pp. 911-922 ◽  
Author(s):  
Takeo Yamamoto ◽  
Tatsuya Yamada ◽  
Takahiro Kinoshita ◽  
Yuji Ueda ◽  
Hiroshi Fujimoto ◽  
...  
Keyword(s):  
Sea Of Japan ◽  
Probability Model ◽  
Natural Habitat ◽  
Carapace Width ◽  
Laboratory Culture ◽  
The Sea Of Japan ◽  
Growth Indices ◽  
Chionoecetes Opilio ◽  
Model Based ◽  
Snow Crabs

Growth and moulting of wild-born immature snow crabs (Chionoecetes opilio (Fabricius, 1788)) were investigated by laboratory culture experiments. Crabs with 16.2-42.9 mm carapace width caught from the Sea of Japan were cultured at a temperature of their natural habitat (approximately 1°C). The growth indices (size increments at moulting in mm and in % of premoult carapace width) and intermoult period were significantly affected by premoult carapace width, but sex did not affect these variables. Furthermore, we demonstrated that premoult carapace width and days after moulting significantly affected moulting probability and we developed a moulting probability model based on these variables. From this model, the number of days of intermoult periods when moults occurred in 50% of crabs of instars VI, VII and VIII was estimated at 234, 284 and 346 days, respectively.

The determinants of university dropouts: a bivariate probability model with sample selection

2001 ◽  
Vol 20 (5) ◽  
pp. 475-484 ◽  
Author(s):  
Claude Montmarquette ◽  
Sophie Mahseredjian ◽  
Rachel Houle
Keyword(s):  
Probability Model ◽  
Sample Selection ◽  
Bivariate Probability

Reliable Routing Protocols in VANETs

2010 ◽  
pp. 200-213 ◽  
Author(s):  
Gongjun Yan ◽  
Danda B. Rawat ◽  
Samy El-Tawab
Keyword(s):  
Network Topology ◽  
Routing Protocols ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Probability Model ◽  
Difficult Problem ◽  
Model Based ◽  
Ideal Tool ◽  
Routing Method ◽  
Hoc Networks

One of the notoriously difficult problems in vehicular ad-hoc networks is to ensure that established paths do not break before the end of data transmission. This is a difficult problem because the network topology is changing constantly and the routing links are inherently unstable. This chapter reviews several routing protocols which are designed for vehicular network environment. Currently, there are five major types of routing protocols based on the metrics used for routing: 1) flooding based routing, 2) mobility based routing, 3) infrastructure based routing, 4) geographic position based routing, and 5) probability model based routing. We give a survey of each type of routing method. Since probability theory is an ideal tool to describe the dynamics of vehicles, we present one probability model based routing method as a detailed example.

Cross-Probability Model Based on Gmm for Feature Vector Normalization

2008 ◽  
pp. 171-185
Author(s):  
Luis Buera ◽  
Antonio Miguel ◽  
Eduardo Lleida ◽  
Alfonso Ortega ◽  
Óscar Saz
Keyword(s):  
Feature Vector ◽  
Probability Model ◽  
Model Based
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