134 search results - page 2 / 27 » Optimal Quadratic-Form Estimator of the Variance of the Samp... |
BMCBI
2006
13 years 5 months ago
2006
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
WSC
1997
13 years 7 months ago
1997
Given a stationary simulation process with unknown mean µ , interest frequently lies in, and various methods exist for, developing estimates and confidence intervals for µ . Typ...
ALT
2008
Springer
14 years 2 months ago
2008
Springer
In this paper we consider the problem of actively learning the mean values of distributions associated with a finite number of options (arms). The algorithms can select which opti...
TCAD
2010
13 years 15 days ago
2010
The Monte-Carlo (MC) technique is a traditional solution for a reliable statistical analysis, and in contrast to probabilistic methods, it can account for any complicate model. How...
WSC
2007
13 years 8 months ago
2007
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...