Combining κNN imputation and bootstrap calibrated empirical likelihood for incomplete data analysis

International Journal of Data Warehousing and Mining

Volumn 6, Issue 4, 2010, Pages 61-73

  Qin, Yongsong ^a   Zhang, Shichao ^b,c   Zhang, Chengqi ^c  

^a GUANGXI NORMAL UNIVERSITY   (China)

^b ZHEJIANG NORMAL UNIVERSITY   (China)

^c UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

NN Imputation; Bootstrap; Empirical Likelihood; Incomplete Data Discovery; Missing Data

Indexed keywords

ASYMPTOTIC THEORIES; BOOTSTRAP; CONFIDENCE INTERVAL; EMPIRICAL LIKELIHOOD; IMPUTATION METHODS; INCOMPLETE DATA; MISSING DATA; NEAREST NEIGHBORS; NORMAL APPROXIMATION; RESEARCH TOPICS; SIMULATION RESULT;

ASYMPTOTIC ANALYSIS; DATA REDUCTION;

APPROXIMATION THEORY;

EID: 77956291631     PISSN: 15483924     EISSN: 15483932     Source Type: Journal    
DOI: 10.4018/jdwm.2010100104     Document Type: Article

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