IMPUTATION OF MISSING CATEGORICAL VALUES IN SURVEY RESEARCH DATA

Veska Noncheva; Venelin Valkov

doi:10.37560/matbil11700023n

IMPUTATION OF MISSING CATEGORICAL VALUES IN SURVEY RESEARCH DATA

Authors

Veska Noncheva Plovdiv University Author
Venelin Valkov Plovdiv University Author

DOI:

https://doi.org/10.37560/matbil11700023n

Keywords:

intentional and unintentional missing data

Abstract

The imputation of missing data is often a crucial step in data analysis and prediction. This study discusses an approach for imputation of missing data in surveys with a large number of categorical variables. The proposed method is based on models of Correspondence Analysis and Data Envelopment Analysis.

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Published

2017-01-01

Issue

Vol. 41 No. 1 (2017): 41 (LXVII) 1 (2017)

Section

Articles

License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]

V. Noncheva and V. Valkov, “IMPUTATION OF MISSING CATEGORICAL VALUES IN SURVEY RESEARCH DATA”, Mat. Bilt., vol. 41, no. 1, pp. 23–31, Jan. 2017, doi: 10.37560/matbil11700023n.