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» Input Modeling Using Quantile Statistical Methods
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WSC
2004
13 years 7 months ago
The Accuracy of a New Confidence Interval Method
Confidence intervals for the median of estimators or other quantiles were proposed as a substitute for usual confidence intervals in terminating and steady-state simulation. This ...
Johann Christoph Strelen
BMCBI
2011
13 years 1 months ago
Identifying hypermethylated CpG islands using a quantile regression model
Background: DNA methylation has been shown to play an important role in the silencing of tumor suppressor genes in various tumor types. In order to have a system-wide understandin...
Shuying Sun, Zhengyi Chen, Pearlly Yan, Yi-Wen Hua...
IPMI
2007
Springer
14 years 6 months ago
Regional Appearance in Deformable Model Segmentation
Automated medical image segmentation is a challenging task that benefits from the use of effective image appearance models. In this paper, we compare appearance models at three reg...
Joshua Stough, Robert E. Broadhurst, Stephen M. Pi...
SSDBM
2008
IEEE
150views Database» more  SSDBM 2008»
14 years 13 days ago
Summarizing Two-Dimensional Data with Skyline-Based Statistical Descriptors
Much real data consists of more than one dimension, such as financial transactions (eg, price × volume) and IP network flows (eg, duration × numBytes), and capture relationship...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
WSC
2001
13 years 7 months ago
Quantile and histogram estimation
This paper discusses implementation of a sequential procedure to construct proportional half-width confidence intervals for a simulation estimator of the steady-state quantiles an...
E. Jack Chen, W. David Kelton