Abstract
In this paper the effect of telephone survey sample design on discriminant analysis is studied. The population is divided into two groups and a superpopulation model with multivariate normal distribution is assumed for the variables. The learning sample is composed of the randomly generated telephone numbers which correspond to the eligible population units (RDD). The rate of misclassification of the discriminant function and the effect of sample design on this rate of misclassification are discussed.KeywordsDiscriminant AnalysisRDD surveysMisclassification rate
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.