Large databases with multiple variables, selected because they are available and might provide an insight into establishing causal relationships, are often difficult to analyse and interpret because of multicollinearity. The objective of this study was to reduce the dimensionality of a multivaria...
Enlace original:
https://cgspace.cgiar.org/handle/10568/29499
Duchateau, L.
,
Kruska, R.L.
,
Perry, Brian D.
,
[Reducing a spatial database to its effective dimensionality for logistic - regression analysis of incidence of livestock disease]
,
Reducing a spatial database to its effective dimensionality for logistic - regression analysis of incidence of livestock disease
