Sciweavers

11 search results - page 1 / 3
» Quantifying simulation output variability using confidence i...
Sort
View
WSC
2001
13 years 6 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
13 years 6 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»
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
WSC
2000
13 years 6 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»
13 years 4 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...