Kernel smoothing density estimation when group membership is subject to missing
Density function is a fundamental concept in data analysis. Non-parametric methods including kernel smoothing estimate are available if the data is completely observed. However, in studies such as diagnostic studies following a two-stage design the membership of some of the subjects may be missing....
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Published in | Journal of statistical planning and inference Vol. 142; no. 3; pp. 685 - 694 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Elsevier B.V
01.03.2012
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Subjects | |
Online Access | Get full text |
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