Non Parametric Inference
Mostrando 1-6 de 6 artigos, teses e dissertações.
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1. Discrete Distributions Estimation via Bernstein Copulas / Estimação de distribuições discretas via cópulas de Bernstein
As relações de dependência entre variáveis aleatórias é um dos assuntos mais discutidos em probabilidade e estatística e a forma mais abrangente de estudar essas relações é por meio da distribuição conjunta. Nos últimos anos vem crescendo a utilização de cópulas para representar a estrutura de dependência entre variáveis aleatórias em uma
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 15/03/2012
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2. Inference rules for generic code migration of aspect-oriented programs
The latest versions of AspectJ { the most popular aspect oriented extension for Java { must cope with complex changes that occurred in the Java type system, specially with the parametric polymorphism which aims to improve the type safety and the readability of the source code. However, for legacy and non-generic constructions to take advantage of this pervas
Publicado em: 2010
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3. Application of theory of value-end of the nucleus and smoothing Stochastic in income distribution of the poor in the state of Cearà / AplicaÃÃo da teoria do valor extinto e suavizaÃÃo por nÃcleo estocÃstico na distribuiÃÃo de renda dos pobres no estado do CearÃ
The research of estimating of poverty in Brazil have been concentrated using the ools of statistical inference or the inefficient use of some ad hoc distributions, or hrough studies of convergence as the b-convergence and s-convergence. This work ontributed to a discussion of different methods of non-parametric statistical inference, with the aim of estimati
Publicado em: 2009
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4. Métodos atuariais aplicados à determinação da taxa de prêmio de contratos de seguro agrícola: um estudo de caso. / Actuarial methods applied to the determination of the premium rate of crop insurance contracts: a case study.
This research analyses alternative methods of pricing agricultural insurance contract based on regional yields. The premium rate is calculated using three different approaches: nonparametric method to estimate the density of the agricultural yield; parametric approach fitting the Normal and Beta distributions; and, hierarchical Bayesian models. The data gene
Publicado em: 2005
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5. Redes bayesianas para inferÃncia de redes regulatÃrias de genes
With the development of functional genomics, data on a great number of species are being obtained in huge volumes. Technologies to measure the differences of the gene expression, through mRNA concentration (microarray), have become extremely popular, and their costs are decreasing. The reconstruction of genetic networks from gene expression data to study the
Publicado em: 2005
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6. Evaluation of methods parametric and non parametric in the analysis of the efficiency of the milk production. / Avaliação de métodos paramétricos e não paramétricos na análise da eficiência da produção de leite.
The objective of the study is test the most applied methods in the analysis of the relative efficiency, purposing the comparation between a producer and a group of resembled producers, or a producer with the entire sample, as the stochastic frontiers (random border) case. The tested methods were the DEA (Data Envelopment Analysis), the stochastic frontier
Publicado em: 2003