Buscar
Mostrando ítems 1-10 de 12
Partial discharges location in transformer winding using wavelets and Kullback-Leibler divergence
(Elsevier Science Sa, 2016-07)
A new algorithm to partial discharges (PD) location in transformer windings by means of the discrete wavelets transform (DWT) and the Kullback-Leibler (KL) divergence is presented. When the insulation system of transformers ...
The zero-inflated Conway-Maxwell-Poisson distribution: Bayesian inference, regression modeling and influence diagnostic
(Elsevier B.V., 2014-11-01)
In this paper we propose the zero-inflated COM-Poisson distribution. We develop a Bayesian analysis for our model via on Markov chain Monte Carlo methods. We discuss regression modeling and model selection, as well as, ...
Mixed-state causal modeling for statistical KL-based motion texture tracking
(Elsevier Science, 2010)
A general long-term aging model with different underlying activation mechanisms: Modeling, Bayesian estimation, and case influence diagnostics
(Taylor & Francis Inc, 2017-01-01)
In this paper we propose a general cure rate aging model. Our approach enables different underlying activation mechanisms which lead to the event of interest. The number of competing causes of the event of interest is ...
Generalized relative entropies in the classical limit
(Elsevier Science, 2015-03)
Our protagonists are (i) the Cressie-Read family of divergences (characterized by the parameter γ), (ii) Tsallis' generalized relative entropies (characterized by the q one), and, as a particular instance of both, (iii) ...
Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism
(2020-01-01)
In this paper we propose a new cure rate survival model. Our approach enables different underlying activation mechanisms which lead to the event of interest. The number of competing causes which may be responsible for the ...
Statistical inference based on information theory for pre-shape data
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Estatistica, 2019)
O método de máxima Lq-verossimilhança em modelos com erros de medição
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2012-02-29)
In this work we consider a new estimator proposed by Ferrari & Yang (2010), called the maximum Lq-likelihood estimator (MLqE), to estimate the parameters of the measurement error models, in particular, the structural model. ...