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Mathematical foundations of time ser...

Beran, Jan.

Mathematical foundations of time series analysisa concise introduction /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mathematical foundations of time series analysisby 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 analysisMathematics.
Online resource:	http://dx.doi.org/10.1007/978-3-319-74380-6
ISBN:	9783319743806$q(electronic bk.)

Mathematical foundations of time series analysisa concise introduction /
Beran, Jan.

Mathematical foundations of time series analysisa 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$q(electronic bk.)

Standard No.: 10.1007/978-3-319-74380-6doiSubjects--Topical Terms:

798720
Time-series analysis
--Mathematics.

LC Class. No.: QA280

Dewey Class. No.: 519.55

Mathematical foundations of time series analysisa concise introduction /
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100 1 $a Beran, Jan. $3 711746
245 1 0 $a Mathematical foundations of time series analysis $h [electronic resource] : $b a concise introduction / $c by Jan Beran.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a ix, 307 p. : $b ill., digital ; $c 24 cm.
520 $a 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.
650 0 $a Time-series analysis $x Mathematics. $3 798720
650 1 4 $a Statistics. $3 182057
650 2 4 $a Statistical Theory and Methods. $3 274054
650 2 4 $a Econometrics. $3 182271
650 2 4 $a Probability Theory and Stochastic Processes. $3 274061
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950 $a Mathematics and Statistics (Springer-11649)