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pro vyhledávání: '"Hawkins, Douglas M."'
Autor:
Hawkins, Douglas M
Transforming a random variable to improve its normality leads to a followup test for whether the transformed variable follows a normal distribution. Previous work has shown that the Anderson Darling test for normality suffers from resubstitution bias
Externí odkaz:
http://arxiv.org/abs/2407.19329
Autor:
Hawkins, Douglas M
The linear quantile-quantile relationship provides an easy-to-implement yet effective tool for transformation to and testing for normality. Its good performance is verified in this report.
Externí odkaz:
http://arxiv.org/abs/2303.03215
This paper develops non-parametric rotation invariant CUSUMs suited to the detection of changes in the mean direction as well as changes in the concentration parameter of angular data. The properties of the CUSUMs are illustrated by theoretical calcu
Externí odkaz:
http://arxiv.org/abs/1705.00351
Autor:
Hawkins, Douglas M, Esquivel, Rianne N
Publikováno v:
Journal of Applied Laboratory Medicine; Mar2024, Vol. 9 Issue 2, p357-370, 14p
Akademický článek
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Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2003 Nov 01. 100(23), 13167-13172.
Externí odkaz:
https://www.jstor.org/stable/3148111
Autor:
Hawkins, Douglas M., Olive, David J.
Publikováno v:
Journal of the American Statistical Association, 2002 Mar 01. 97(457), 136-148.
Externí odkaz:
https://www.jstor.org/stable/3085765
Publikováno v:
In Computational Statistics and Data Analysis January 2017 105:268-279
Publikováno v:
Journal of the American Statistical Association, 2000 Sep 01. 95(451), 853-864.
Externí odkaz:
https://www.jstor.org/stable/2669469