scholarly journals Resolving clouds in a global atmosphere model - A multiscale approach with nested models

2018 ◽  
Author(s):  
Fredrik Jansson ◽  
Gijs van den Oord ◽  
Pier Siebesma ◽  
Daan Crommelin
Keyword(s):  
Multiscale Approach ◽  
Nested Models ◽  
Atmosphere Model

Seagrass amphipod assemblages in a Mediterranean marine protected area: a multiscale approach

2014 ◽  
Vol 506 ◽  
pp. 175-192 ◽  
Author(s):  
N Sturaro ◽  
G Lepoint ◽  
A Pérez-Perera ◽  
S Vermeulen ◽  
P Panzalis ◽  
...  
Keyword(s):  
Protected Area ◽  
Marine Protected Area ◽  
Multiscale Approach

The Aeras Next Generation Global Atmosphere Model.

2016 ◽  
Author(s):  
Peter Andrew Bosler ◽  
Steven W. Bova ◽  
Irina P. Demeshko ◽  
Jeffrey A. Fike ◽  
Oksana Guba ◽  
...  
Keyword(s):  
Next Generation ◽  
Atmosphere Model

scholarly journals An Alternative Promotion Time Cure Model with Overdispersed Number of Competing Causes: An Application to Melanoma Data

Mathematics ◽  
2021 ◽  
Vol 9 (15) ◽  
pp. 1815
Author(s):  
Diego I. Gallardo ◽  
Mário de Castro ◽  
Héctor W. Gómez
Keyword(s):  
Estimation Method ◽  
Selection Criterion ◽  
Likelihood Method ◽  
Simulation Studies ◽  
Cure Rate ◽  
Nested Models ◽  
Proposed Model ◽  
The Em Algorithm ◽  
Competing Causes ◽  
The One

A cure rate model under the competing risks setup is proposed. For the number of competing causes related to the occurrence of the event of interest, we posit the one-parameter Bell distribution, which accommodates overdispersed counts. The model is parameterized in the cure rate, which is linked to covariates. Parameter estimation is based on the maximum likelihood method. Estimates are computed via the EM algorithm. In order to compare different models, a selection criterion for non-nested models is implemented. Results from simulation studies indicate that the estimation method and the model selection criterion have a good performance. A dataset on melanoma is analyzed using the proposed model as well as some models from the literature.

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