Entropy Estimation From Ranked Set Samples With Application to Test of Fit
2017 ◽
Vol 40
(2)
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pp. 223-241
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Keyword(s):
This article deals with entropy estimation using ranked set sampling (RSS). Some estimators are developed based on the empirical distribution function and its nonparametric maximum likelihood competitor. The suggested entropy estimators have smaller root mean squared errors than the other entropy estimators in the literature. The proposed estimators are then used to construct goodness of fit tests for inverse Gaussian distribution.
2003 ◽
Vol 2003
(9)
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pp. 587-592
2009 ◽
Vol 53
(4)
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pp. 1132-1141
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1989 ◽
Vol 38
(3)
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pp. 535
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2012 ◽
Vol 82
(2)
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pp. 173-181
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1977 ◽
Vol 39
(3)
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pp. 333-336
2019 ◽
Vol 212
(2)
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pp. 556-583
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2015 ◽
Vol 86
(11)
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pp. 2262-2272
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Keyword(s):
2014 ◽
Vol 44
(6)
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pp. 1441-1452
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