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Empirical Likelihood in Missing Data Problems:

Qin, Jing ; Zhang, Biao ; Leung, Denis H. Y.
Journal of the American Statistical Association. 104 (2009) 488 - p. 1492-1503 , 2009

Link: https://www.jstor.org/stable/40592356

RT Journal
T1 <Title>Empirical Likelihood in Missing Data Problems</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-40592356&Exemplar=1&LAN=DE
				
A1 Qin, Jing
A1 Zhang, Biao
A1 Leung, Denis H. Y.
PB American Statistical Association
YR 2009
SN 0162-1459
K1 Mathematics
K1 Applied mathematics
K1 Statistics
K1 Applied statistics
K1 Inferential statistics
K1 Statistical estimation
K1 Estimation methods
K1 Estimators
K1 Information science
K1 Information management
K1 Data management
K1 Data types
K1 Missing data
K1 Philosophy
K1 Applied philosophy
K1 Philosophy of science
K1 Scientific method
K1 Information analysis
K1 Data analysis
K1 Regression analysis
K1 Mathematical values
K1 Mathematical variables
K1 Mathematical independent variables
K1 Statistical models
K1 Semiparametric modeling
K1 Behavioral sciences
K1 Psychology
K1 Cognitive psychology
K1 Cognitive processes
K1 Thought processes
K1 Reasoning
K1 Inference
K1 Biological sciences
K1 Biology
K1 Physiology
K1 Anthropometric measurements
K1 Body mass index
K1 Data products
K1 Datasets
JF Journal of the American Statistical Association
VO 104
IS 488
SP 1492
OP 1503
LK http://dx.doi.org/https://www.jstor.org/stable/40592356
DO https://www.jstor.org/stable/40592356
SF ELIB - SuUB Bremen

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