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Metodologia gráfica para dados de eventos recorrentes via bootstrap.
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2005-01-05)
Experiments related to recurrent events provide information about the number of events,
time to their ocurrence and their costs. Nelson (1995) presents a methodology to obtain
confidence intervals for the cost and the ...
Análise de Cluster e Bootstrap no estudo da interação genótipo x ambienteCluster analysis and Bootstrap in the study of genotype x environment
(Universidade Federal de UberlândiaBrasilEstatística, 2018)
Modelagem estatística para a determinação de resultados de dados esportivos
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2007-06-27)
The basic result of a soccer game is the final scoreboard, which can be seen as a
bivariate random vector. Theoretically and based on existent literature we can argue that
the number of marked gols by a team in a game ...
Bootstrap estacionario em modelos ARFIMA (p,d,q)
(Universidade Federal de Minas GeraisUFMG, 2013-06-28)
This study aims to use the stationary bootstrap to make inference about the memory parameter, d, in ARFIMA models and verify its efficiency in the region of stationarity. The method consists of using the stationary bootstrap ...
Testes de permutação e bootstrap em análise estatística de formas: aplicações a zoologia
(Universidade Federal de Pernambuco, 2014)
Reamostragem bootstrap em amostragem por conjuntos ordenados e intervalos de confiança não paramétricos para a média.
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2005-01-27)
Ranked set sampling is an efficient and practice way to obtain more precise estimative
when the sample size is small because of the high cost or difficulties to measure the interest
variable. Using rough and cheap qualitative ...
Robust bootstrap: an alternative to bootstrapping robust estimators
(Instituto Nacional de Estatística, 2014-06)
There is a vast literature on robust estimators, but in some situations it is still not easy to make inferences, such as confidence regions and hypothesis testing. This is mainly due to the following facts. On one hand, ...
Análise estatística de dados radioecológicos discrepantes usando o método Monte Carlo bootstrap
(Universidade Federal de Pernambuco, 2015)
Bootstrapping credit default swap data
(Wolfram Demonstrations Project, 2016)