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Mathematical foundations of time ser...
~
Beran, Jan.
Mathematical foundations of time series analysis = a concise introduction /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Mathematical foundations of time series analysis/ by Jan Beran.
Reminder of title:
a concise introduction /
Author:
Beran, Jan.
Published:
Cham :Springer International Publishing : : 2017.,
Description:
ix, 307 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Time-series analysis - Mathematics. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-74380-6
ISBN:
9783319743806
Mathematical foundations of time series analysis = a concise introduction /
Beran, Jan.
Mathematical foundations of time series analysis
a concise introduction /[electronic resource] :by Jan Beran. - Cham :Springer International Publishing :2017. - ix, 307 p. :ill., digital ;24 cm.
This book provides a concise introduction to the mathematical foundations of time series analysis, with an emphasis on mathematical clarity. The text is reduced to the essential logical core, mostly using the symbolic language of mathematics, thus enabling readers to very quickly grasp the essential reasoning behind time series analysis. It appeals to anybody wanting to understand time series in a precise, mathematical manner. It is suitable for graduate courses in time series analysis but is equally useful as a reference work for students and researchers alike.
ISBN: 9783319743806
Standard No.: 10.1007/978-3-319-74380-6doiSubjects--Topical Terms:
1198493
Time-series analysis
--Mathematics.
LC Class. No.: QA280
Dewey Class. No.: 519.55
Mathematical foundations of time series analysis = a concise introduction /
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a concise introduction /
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by Jan Beran.
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2017.
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Imprint: Springer,
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ix, 307 p. :
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ill., digital ;
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24 cm.
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This book provides a concise introduction to the mathematical foundations of time series analysis, with an emphasis on mathematical clarity. The text is reduced to the essential logical core, mostly using the symbolic language of mathematics, thus enabling readers to very quickly grasp the essential reasoning behind time series analysis. It appeals to anybody wanting to understand time series in a precise, mathematical manner. It is suitable for graduate courses in time series analysis but is equally useful as a reference work for students and researchers alike.
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Mathematics and Statistics (Springer-11649)
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