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WSC
2007
13 years 6 months ago
Confidence interval estimation using linear combinations of overlapping variance estimators
We develop new confidence-interval estimators for the mean and variance parameter of a steady-state simulation output process. These confidence intervals are based on optimal li...
Tûba Aktaran-Kalayci, David Goldsman, James ...
WSC
2004
13 years 5 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
SIGMETRICS
2008
ACM
128views Hardware» more  SIGMETRICS 2008»
13 years 4 months ago
Confident estimation for multistage measurement sampling and aggregation
Measurement, collection, and interpretation of network usage data commonly involves multiple stage of sampling and aggregation. Examples include sampling packets, aggregating them...
Edith Cohen, Nick G. Duffield, Carsten Lund, Mikke...
NN
2000
Springer
165views Neural Networks» more  NN 2000»
13 years 4 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
ICML
2006
IEEE
14 years 5 months ago
Using query-specific variance estimates to combine Bayesian classifiers
Many of today's best classification results are obtained by combining the responses of a set of base classifiers to produce an answer for the query. This paper explores a nov...
Chi-Hoon Lee, Russell Greiner, Shaojun Wang