TY - JOUR
AU - Steenkamp, Jan-Benedict E.M.
AB -  We investigate the effects of a complex sampling design on the estimation of mixture models.  An approximate or pseudo likelihood approach is proposed to obtain consistent estimates of class-specific parameters when the sample arises from such a complex design.  The effects of ignoring the sample design are demonstrated empirically in the context of an international value segmentation study in which a multinomial mixture model is applied to identify segment-level value rankings.  The analysis reveals that ignoring the sample design results in both an incorrect number of segments as identified by information criteria and biased estimates of segment-level parameters.
TI - Mixture Model Analysis of Complex Samples
JF - Journal of Classification
DO - 10.1007/s003579900032
DA - 1998-02-01
UR - https://www.deepdyve.com/lp/springer-journals/mixture-model-analysis-of-complex-samples-dtV5MyKU6q
SP - 225
EP - 244
VL - 15
IS - 2
DP - DeepDyve
ER -