A 0-1 quadratic programme for the case of missing data in regression

Brian K. Smith, Justin R. Chimka and Heather Nachtmann

International Journal of Data Analysis Techniques and Strategies, 2014, vol. 6, issue 1, 94-104

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.

Keywords: missing data values; quadratic programming; QP; regression analysis; survey research; non-responses. (search for similar items in EconPapers)
Date: 2014
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