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Mathematical foundations of time ser...

Beran, Jan.

Mathematical foundations of time series analysisa concise introduction /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mathematical foundations of time series analysisby Jan Beran.
其他題名:	a concise introduction /
作者:	Beran, Jan.
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	ix, 307 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Time-series analysisMathematics.
電子資源:	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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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.
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