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Datorzinātne un matemātika / Mathematics, Computer and Information Sciences
Neyman smooth goodness-of-fit tests for the marginal distribution of dependent data
Neyman smooth goodness-of-fit tests for the marginal distribution of dependent data
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Valeinis_Munk_Stockis_2011.pdf
(288.22 KB)
Date
2011
Authors
Munk, Axel
Stockis, Jean-Pierre
Valeinis, Janis
Giese, Götz
Co-author
Advisor
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Language
eng
Abstract
Keywords
Research Subject Categories::MATHEMATICS
,
Neyman’s smooth test
,
Goodness-of-fit
,
Strongly mixing process
,
Implied volatility
Citation
Relation
URI
http://www.springerlink.com/content/t253473k203t8258/fulltext.pdf
https://dspace.lu.lv/handle/7/31154
DOI
10.1007/s10463-009-0260-2
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Datorzinātne un matemātika / Mathematics, Computer and Information Sciences
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