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Computational aspects of nonparametric Bayesian analysis with applications to the modeling of multiple binary sequences
(AMER STATISTICAL ASSOC, 2000)
We consider Markov mixture models for multiple longitudinal binary sequences. Prior uncertainty in the mixing distribution is characterized by a Dirichlet process centered on a matrix beta measure. We use this setting to ...
Spatial distribution and sequential sampling of the banana root borer
(2016-05-01)
The banana root borer, Cosmopolites sordidus Germar (Coleoptera: Curculionidae), is a major pest in many banana (Musa spp.)- producing regions of the world, causing yield losses of up to 100%. The aims of this study were ...
Sequential Optimization for Siting and Sizing Distributed Generation (DG) in Medium Voltage (MV) Distribution Networks
(IEEE, 2007)
New technologies and regulatory changes are producing a change from the distribution networks classical model, both from the point of view of the end user becoming an active player, and from the distribution network ...
Short-term operation of a distribution company: A pseudo-dynamic tabu search-based optimisation
(Inst Engineering Technology-iet, 2018-07-10)
This work presents a probabilistic sequential framework for short-term operation of distribution companies (DisCos) participating in the day-ahead (DA) and real-time (RT) markets. In the proposed framework, the DisCo's ...
Simulação sequencial de atributos diagnósticos do solo
(Univ Federal Campina Grande, 2015-05-01)
The sequential simulation generates a set of equiprobable images with the same spatial variability of the experimental values. The aim of this study was to determine the spatial dependence of the diagnostic attributes of ...
Sequential Sampling Plan of Anthonomus grandis (Coleoptera: Curculionidae) in Cotton Plants
(Oxford Univ Press Inc, 2017-04-01)
The boll weevil, Anthonomus grandis grandis Boheman (Coleoptera: Curculionidae), is one of the most important pests of cotton production worldwide. The objective of this work was to develop a sequential sampling plan for ...
Post-processing of sequential indicator simulation realizations for modeling geologic bodies
(Springer, 2015-02-01)
Sequential indicator simulation realizations contain unavoidable artifacts that are geologically unrealistic. This happens because unlikely types can be drawn randomly from the cumulative distribution and be assigned to a ...
Comparing sequential Gaussian and turning bands algorithms for cosimulating grades in multi-element deposits
(Elsevier, 2015)
Stochastic simulation is increasingly used to map the spatial variability in the grades of elements of interest and to assess the uncertainty in the mineral resources and ore reserves. The practical implementation requires ...