Stochastic Methods
Mostrando 1-12 de 151 artigos, teses e dissertações.
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1. Characterization of Otto Chips by Particle Swarm Optimization
Abstract Recently a surface plasmon resonance (SPR) optical sensor, based on the Otto configuration — the Otto chip — has been developed. One essential step in the quality control of the fabrication process is characterization of the active region of several devices in a batch. Characterization is done by measuring the angular spectrum of the optical re
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2021-03
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2. THE EM ALGORITHM FOR STANDARD STOCHASTIC FRONTIER MODELS
ABSTRACT The Expectation-Maximization (EM) algorithm is developed for the stochastic frontier models most used in practice with cross-section data. The resulting algorithms can be easily programmed into a computer and are shown to be worthy alternatives to general-purpose optimization routines currently used. The algorithms for the half normal and the expone
Pesqui. Oper.. Publicado em: 02/12/2019
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3. Effects of primary productivity on beta diversity of ecological communities
Resumo Objetivo Diversos fatores ecológicos afetam previsivelmente a diversidade beta - a dissimilaridade das comunidades entre locais ou através do tempo. Considerando o efeito da produtividade primária, existem divergências na literatura a respeito do tipo de relação que seria encontrada (positiva, negativa ou em formato de domo). Isto é relevante
Acta Limnol. Bras.. Publicado em: 21/10/2019
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4. Direct sequencing of blocks in stochastic models with multi-mines and multi-destinations
Abstract Mining Scheduling is the one that maximizes profit from mining over time. By means of computational methods, the deposit is discretized in blocks and algorithms are used to consummate this objective. The methods that are widely known nowadays for mining scheduling optimization of a discrete block model were based on graph theory, and among those mos
REM, Int. Eng. J.. Publicado em: 16/09/2019
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5. A stochastic approach for measuring the uncertainty of claims reserves
RESUMO Este trabalho visa a obter métricas para a quantificação da variabilidade das provisões técnicas de sinistros, fazendo uso de modelos determinísticos e estocásticos. Em suma, tudo o que os métodos tradicionais não fornecem (medidas de variabilidade e de insuficiência de capital) são de fundamental importância para uma gestão atuarial efic
Rev. contab. finanç.. Publicado em: 27/06/2019
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6. Lessons and perspectives for applications of stochastic models in biological and cancer research
The effects of randomness, an unavoidable feature of intracellular environments, are observed at higher hierarchical levels of living matter organization, such as cells, tissues, and organisms. Additionally, the many compounds interacting as a well-orchestrated network of reactions increase the difficulties of assessing these systems using only experiments.
Clinics. Publicado em: 21/09/2018
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7. Modal Parameter Extraction of a Huge Four Stage Centrifugal Compressor Using Operational Modal Analysis Method
Abstract In recent years, modal analysis has become one of the essential methods for modification and optimization of dynamic characteristics of engineering structures. This is the first published study to identify modal parameters of a complex four-stage centrifugal compressor using Operational Modal Analysis (OMA). Vibrational response was measured contin
Lat. Am. j. solids struct.. Publicado em: 03/05/2018
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8. Updating Finite Element Model Using Stochastic Subspace Identification Method and Bees Optimization Algorithm
Abstract This study investigates the application of operational modal analysis along with bees optimization algorithm for updating the finite element model of structures. Bees algorithm applies instinctive behavior of honeybees as they look for nectar of flowers. The parameters that needed to be updated are uncertain parameters such as geometry and material
Lat. Am. j. solids struct.. Publicado em: 26/04/2018
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9. PERFORMANCE COMPARISON OF SCENARIO-GENERATION METHODS APPLIED TO A STOCHASTIC OPTIMIZATION ASSET-LIABILITY MANAGEMENT MODEL
ABSTRACT In this paper, we provide an empirical discussion of the differences among some scenario tree-generation approaches for stochastic programming. We consider the classical Monte Carlo sampling and Moment matching methods. Moreover, we test the Resampled average approximation, which is an adaptation of Monte Carlo sampling and Monte Carlo with naive al
Pesqui. Oper.. Publicado em: 2018-04
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10. Inequality of opportunity in health: evidence from Chile
ABSTRACT OBJECTIVE To assess the possible presence of inequality of opportunities in the health status of Chileans, according to sociodemographic circumstances. METHODS Self-rated health data were used from the Chilean National Health Survey of 2010 to test the hypothesis of strong and weak equality of opportunities in the health status of the Chilean po
Rev. Saúde Pública. Publicado em: 04/12/2017
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11. PERIODIC REVIEW SYSTEM FOR INVENTORY REPLENISHMENT CONTROL FOR A TWO-ECHELON LOGISTICS NETWORK UNDER DEMAND UNCERTAINTY: A TWO-STAGE STOCHASTIC PROGRAMING APPROACH
ABSTRACT Here, we propose a novel methodology for replenishment and control systems for inventories of two-echelon logistics networks using a two-stage stochastic programming, considering periodic review and uncertain demands. In addition, to achieve better customer services, we introduce a variable rationing rule to address quantities of the item in short.
Pesqui. Oper.. Publicado em: 2017-08
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12. Modeling Bayesian Networks from a conceptual framework for occupational risk analysis
Abstract Occupational risk is the possibility that some element included in a particular work environment can cause damage to someone’s health. Thereby, the risk is understood as the product of probability and consequences. In this sense, risk analysis through probabilistic stochastic techniques, such as Bayesian networks (BN), becomes an important tool to
Prod.. Publicado em: 20/07/2017