413 search results - page 5 / 83 » Teaching Regression with Simulation |
BMCBI
2006
13 years 7 months ago
2006
Background: Nonlinear regression, like linear regression, assumes that the scatter of data around the ideal curve follows a Gaussian or normal distribution. This assumption leads ...
WSC
2004
13 years 9 months ago
2004
Using simulated data to develop and study diagnostic tools for data analysis is very beneficial. The user can gain insight about what happens when assumptions are violated since t...
EOR
2006
13 years 7 months ago
2006
Simulation experiments are often analyzed through a linear regression model of their input/output data. Such an analysis yields a metamodel or response surface for the underlying ...
CGF
2010
13 years 7 months ago
2010
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
BMCBI
2011
13 years 2 months ago
2011
Background: When investigating covariate interactions and group associations with standard regression analyses, the relationship between the response variable and exposure may be ...