21 search results - page 4 / 5 » Purposeful selection of variables in logistic regression |
KDD
2001
ACM
14 years 5 months ago
2001
ACM
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
TSP
2010
13 years 5 days ago
2010
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
EOR
2007
13 years 5 months ago
2007
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
AUSDM
2006
Springer
13 years 9 months ago
2006
Springer
The purpose of this study is to demonstrate the benefit of using common data mining techniques on survey data where statistical analysis is routinely applied. The statistical surv...