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» Overlapping Variance Estimators for Simulation
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CSDA
2006
90views more  CSDA 2006»
13 years 7 months ago
Estimation in covariate-adjusted regression
Abstract: The method of covariate adjusted regression was recently proposed for situations where both predictors and response in a regression model are not directly observed, but a...
Damla Sentürk, Danh V. Nguyen
WABI
2009
Springer
117views Bioinformatics» more  WABI 2009»
14 years 2 months ago
A Simulation Study Comparing Supertree and Combined Analysis Methods Using SMIDGen
Background: Supertree methods comprise one approach to reconstructing large molecular phylogenies given multi-marker datasets: trees are estimated on each marker and then combined...
M. Shel Swenson, François Barbançon,...
ISCAS
2008
IEEE
112views Hardware» more  ISCAS 2008»
14 years 1 months ago
Glitch-aware output switching activity from word-level statistics
— This paper presents models for estimating the transition activity of signals at the output of adders in Field Programmable Gate Arrays (FPGAs), given only word-level measures o...
Jonathan A. Clarke, George A. Constantinides, Pete...
WSC
2001
13 years 8 months ago
On the MSE robustness of batching estimators
Variance is a classical measure of a point estimator's sampling error. In steady-state simulation experiments, many estimators of this variance--or its square root, the stand...
Yingchieh Yeh, Bruce W. Schmeiser
SIAMNUM
2010
96views more  SIAMNUM 2010»
13 years 2 months ago
A Stochastic Algorithm for Parametric Sensitivity in Smoluchowski's Coagulation Equation
Abstract. In this article a stochastic particle system approximation to the parametric sensitivity in the Smoluchowski coagulation equation is introduced. The parametric sensitivit...
Ismaël F. Bailleul, Peter L. W. Man, Markus K...