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Volumn 44, Issue 3, 2015, Pages 449-456

A comparison of various imputation methods for missing values in air quality data

Author keywords

Imputation techniques; Missing data; Performance indicators

Indexed keywords

AIR QUALITY; COMPARATIVE STUDY; DECOMPOSITION ANALYSIS; NEAREST NEIGHBOR ANALYSIS; PERFORMANCE ASSESSMENT; STATISTICAL DATA;

EID: 84942327539     PISSN: 01266039     EISSN: None     Source Type: Journal    
DOI: 10.17576/jsm-2015-4403-17     Document Type: Article
Times cited : (63)

References (12)
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    • Gelman, A., King, G. & Liu, C. 1998. Not asked and not answered: Multiple imputation for multiple surveys. Journal of the American Statistical Association 93(443): 846-857.
    • (1998) Journal of the American Statistical Association , vol.93 , Issue.443 , pp. 846-857
    • Gelman, A.1    King, G.2    Liu, C.3
  • 5
    • 13244298228 scopus 로고    scopus 로고
    • Reuse of imputed data in microarray increases imputation efficiency
    • Kim, K.Y., Kim, B.J. & Yi, G.S. 2004. Reuse of imputed data in microarray increases imputation efficiency. BMC Bioinformatics 5: 160.
    • (2004) BMC Bioinformatics , vol.5 , pp. 160
    • Kim, K.Y.1    Kim, B.J.2    Yi, G.S.3
  • 6
    • 0034385987 scopus 로고    scopus 로고
    • Regression-based nearest neighbor hot decking
    • Laaksonen, S. 2000. Regression-based nearest neighbor hot decking. Computational Statistics15(1): 65-71.
    • (2000) Computational Statistics15 , vol.1 , pp. 65-71
    • Laaksonen, S.1
  • 8
    • 33750013519 scopus 로고    scopus 로고
    • Single imputation method of missing values in environmental pollution data sets
    • Plaia, A. & Bondi, A.L. 2006. Single imputation method of missing values in environmental pollution data sets. Atmospheric Environment 40: 7316-7330.
    • (2006) Atmospheric Environment , vol.40 , pp. 7316-7330
    • Plaia, A.1    Bondi, A.L.2
  • 9
    • 76449088209 scopus 로고    scopus 로고
    • Two approaches to imputation and adjustment of air quality data from a composite monitoring network
    • Pollice, A. & Lasinio, G.J. 2009. Two approaches to imputation and adjustment of air quality data from a composite monitoring network. Journal of Data Science 7: 43-59.
    • (2009) Journal of Data Science , vol.7 , pp. 43-59
    • Pollice, A.1    Lasinio, G.J.2
  • 10
    • 70449526186 scopus 로고    scopus 로고
    • Research note: Imputing large group averages for missing data, using rural-urban continuum codes for density driven industry sectors
    • Porter, J., Cossman, R. & James, W. 2009. Research note: Imputing large group averages for missing data, using rural-urban continuum codes for density driven industry sectors. Journal of Population Research 26(3): 273-278.
    • (2009) Journal of Population Research , vol.26 , Issue.3 , pp. 273-278
    • Porter, J.1    Cossman, R.2    James, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.