Applying Least Absolute Shrinkage Selection Operator and Akaike Information Criterion Analysis to Find the Best Multiple Linear Regression Models between Climate Indices and Components of Cow’s Milk

2016-11-092016-11-092016-07-232304-8158urn:nbn:de:hebis:34-2016110951358http://hdl.handle.net/123456789/2016110951358engUrheberrechtlich geschützthttps://rightsstatements.org/page/InC/1.0/AICLASSOclimate indicesESIETIHLIRRPTHIlinear regression modelmilk components630Applying Least Absolute Shrinkage Selection Operator and Akaike Information Criterion Analysis to Find the Best Multiple Linear Regression Models between Climate Indices and Components of Cow’s MilkAufsatz