Variable selection in regression models used to analyse Global Positioning System accuracy in forest environments.
Celestino OrdóñezMarta SesteloJavier Roca-PardiñasEnrique CoviánPublished in: Appl. Math. Comput. (2012)
Keyphrases
- variable selection
- regression model
- model selection
- logistic regression models
- cross validation
- global positioning system
- input variables
- high dimensional
- linear model
- linear models
- prediction model
- multipath
- feature selection
- high dimensional data
- dimension reduction
- navigation systems
- image processing
- least squares
- data mining techniques
- data sets
- machine learning