Quantile Estimation from Repeated Measurements
作者:
J. Olsson,
H. Rootzén,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1996)
卷期:
Volume 91,
issue 436
页码: 1560-1565
ISSN:0162-1459
年代: 1996
DOI:10.1080/01621459.1996.10476723
出版商: Taylor & Francis Group
关键词: Correlated observations;Perimetry;Reference values;Repeated measurements;Weighted empirical distribution function
数据来源: Taylor
摘要:
Quantile estimators for a nonparametric components of variance situation are proposed consistency and asymptotic normality are proved. Situations with different numbers of measurements for different subjects are considered. Measurements on separate subjects are assumed to be independent, whereas measurements on the same subject have a fixed dependence. The estimators are obtained by inverting weighted empirical distribution functions. An “optimal” estimator and a simple estimator based on within-subject averages are studied. Small-sample properties are studied by simulation as an illustration the estimators are applied to give normal limits for differential light sensitivity of the human eye.
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