A 0-1 quadratic programme for the case of missing data in regression
by Brian K. Smith; Justin R. Chimka; Heather Nachtmann
International Journal of Data Analysis Techniques and Strategies (IJDATS), Vol. 6, No. 1, 2014

Abstract: Multivariate statistical analysis techniques including regression analysis compose a popular toolset for analysing survey data, but the techniques require a complete dataset with no missing values. Unfortunately, most survey datasets contain missing values. These missing values must be resolved in some manner before regression analysis can take place. We present a quadratic programming methodology for eliminating non-responses from a survey dataset.

Online publication date: Sat, 05-Jul-2014

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