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» Assessing when a sample is mostly normal
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62
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CSDA
2010
108views more  CSDA 2010»
14 years 9 months ago
Assessing when a sample is mostly normal
The use of trimming procedures constitutes a natural approach to robustifying statistical methods. This is the case of goodness-of-fit tests based on a distance, which can be modi...
Pedro C. Alvarez-Esteban, Eustasio del Barrio, Jua...
CSDA
2011
14 years 4 months ago
An affine invariant multiple test procedure for assessing multivariate normality
: A multiple test procedure for assessing multivariate normality (MVN) that combines a finite set of affine invariant test statistics for MVN is proposed. This combination is base...
Carlos Tenreiro
76
Voted
IJBRA
2007
89views more  IJBRA 2007»
14 years 9 months ago
Conservative adjustment of permutation p-values when the number of permutations is limited
The permutation procedure is widely used to assess the significance level (p-value) of a test statistic. This approach is asymptotically consistent. In genomics and proteomics st...
Yinglei Lai
WSCG
2004
143views more  WSCG 2004»
14 years 11 months ago
View Dependent Stochastic Sampling for Efficient Rendering of Point Sampled Surfaces
In this paper we present a new technique for rendering very large datasets representing point-sampled surfaces. Rendering efficiency is considerably improved by using stochastic s...
Sushil Bhakar, Liang Luo, Sudhir P. Mudur
CIKM
2009
Springer
15 years 4 months ago
A query model based on normalized log-likelihood
Leveraging information from relevance assessments has been proposed as an effective means for improving retrieval. We introduce a novel language modeling method which uses inform...
Edgar Meij, Wouter Weerkamp, Maarten de Rijke