Missing-Values Adjustment for Mixed-Type Data
Joint Authors
Tarsitano, Agostino
Falcone, Marianna
Source
Journal of Probability and Statistics
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-08-23
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
We propose a new method of single imputation, reconstruction, and estimation of nonreported, incorrect, implausible, or excluded values in more than one field of the record.
In particular, we will be concerned with data sets involving a mixture of numeric, ordinal, binary, and categorical variables.
Our technique is a variation of the popular nearest neighbor hot deck imputation (NNHDI) where “nearest” is defined in terms of a global distance obtained as a convex combination of the distance matrices computed for the various types of variables.
We address the problem of proper weighting of the partial distance matrices in order to reflect their significance, reliability, and statistical adequacy.
Performance of several weighting schemes is compared under a variety of settings in coordination with imputation of the least power mean of the Box-Cox transformation applied to the values of the donors.
Through analysis of simulated and actual data sets, we will show that this approach is appropriate.
Our main contribution has been to demonstrate that mixed data may optimally be combined to allow the accurate reconstruction of missing values in the target variable even when some data are absent from the other fields of the record.
American Psychological Association (APA)
Tarsitano, Agostino& Falcone, Marianna. 2011. Missing-Values Adjustment for Mixed-Type Data. Journal of Probability and Statistics،Vol. 2011, no. 2011, pp.1-20.
https://search.emarefa.net/detail/BIM-460743
Modern Language Association (MLA)
Tarsitano, Agostino& Falcone, Marianna. Missing-Values Adjustment for Mixed-Type Data. Journal of Probability and Statistics No. 2011 (2011), pp.1-20.
https://search.emarefa.net/detail/BIM-460743
American Medical Association (AMA)
Tarsitano, Agostino& Falcone, Marianna. Missing-Values Adjustment for Mixed-Type Data. Journal of Probability and Statistics. 2011. Vol. 2011, no. 2011, pp.1-20.
https://search.emarefa.net/detail/BIM-460743
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-460743