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WSC
2001
14 years 11 months ago
Quantifying simulation output variability using confidence intervals and statistical process control
Two types of variability can occur in model output: variability between replications and variability within each replication. The objective of the model combined with the type of ...
Amy Jo Naylor
WSC
2004
14 years 11 months ago
A Data Warehouse Environment for Storing and Analyzing Simulation Output Data
Discrete event simulation modelling has been extensively used in modelling complex systems. Although it offers great conceptual-modelling flexibility, it is both computationally e...
Christos Vasilakis, Elia El-Darzi, Panagiotis Chou...
NN
2000
Springer
165views Neural Networks» more  NN 2000»
14 years 9 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
WSC
2000
14 years 11 months ago
Confident decision making and improved throughput for cereal manufacturing with simulation
In 1999, Kellogg Company needed to rationalize its area manufacturing capacity. A significant portion of the production was moved between Kellogg manufacturing plants. Simulation ...
Travis A. Dahl, Brian F. Jacob
BMCBI
2006
240views more  BMCBI 2006»
14 years 9 months ago
Statistical analysis of real-time PCR data
Background: Even though real-time PCR has been broadly applied in biomedical sciences, data processing procedures for the analysis of quantitative real-time PCR are still lacking;...
Joshua S. Yuan, Ann Reed, Feng Chen, C. Neal Stewa...