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Development of a global seismic risk model
(EARTHQUAKE ENGINEERING RESEARCH INST, 2020-02-02)
Since 2015, the Global Earthquake Model (GEM) Foundation and its partners have been supporting regional programs and bilateral collaborations to develop an open global earthquake risk model. These efforts led to the ...
Weak nondifferential measurement error models
(ELSEVIER SCIENCE BV, 1998)
In this note we consider the class of weak nondifferential measurement error models, which as a special case, contains the class of the nondifferential measurement error models (Carroll et al., 1995). Examples of measurement ...
On the evaluation of soil erosion models: are we doing enough?
(Elsevier, 2020)
Joint species movement modeling: how do traits influence movements?
(2019-04-01)
Joint species distribution modeling has enabled researchers to move from species-level to community-level analyses, leading to statistically more efficient and ecologically more informative use of data. Here, we propose ...
Combined use of modeling techniques for the development of the conceptual model in simulation projects
(2008-12-01)
The objective of this paper is to utilize the SIPOC, flowchart and IDEF0 modeling techniques combined to elaborate the conceptual model of a simulation project. It is intended to identify the contribution of these techniques ...
Combined use of modeling techniques for the development of the conceptual model in simulation projects
(2008-12-01)
The objective of this paper is to utilize the SIPOC, flowchart and IDEF0 modeling techniques combined to elaborate the conceptual model of a simulation project. It is intended to identify the contribution of these techniques ...
Ontologias e Unified Modeling Language: uma abordagem para representação de domínios de conhecimento.
(2009-10)
This article emphasizes the use of Unified Modeling Language, UML in the specification of models based on ontologies in the representation of domains of knowledge, emphasizing the importance of semantic and of treatment ...
Surviving fully Bayesian nonparametric regression models
(Oxford University Press, 2013)
This chapter compares two Bayesian nonparametric models that generalize the accelerated failure time model, based on recent work on probability models for predictor-dependent probability distributions. It begins by reviewing ...