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Mathematical Foundations of Time Series Analysis

A Concise Introduction

By (author) Jan Beran
Format: Hardback
Publisher: Springer International Publishing AG, Cham, Switzerland
Published: 4th Apr 2018
Dimensions: w 156mm h 234mm d 19mm
Weight: 626g
ISBN-10: 3319743783
ISBN-13: 9783319743783
Barcode No: 9783319743783
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Synopsis
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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"'This book provides a concise introduction to the mathematical foundations of time series analysis, with an emphasis on mathematical clarity. ... 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.' ... The book can be recommended to all readers, who are interested in this field." (Ludwig Paditz, zbMath 1414.62001, 2019)
"This book is a rigorous, mathematically clear and self-contained and quite complete text on time series analysis, suitable both for graduate courses and as a reference book for researchers and users of stochastic temporal models." (Nazare Mendes Lopes, Mathematical Reviews, December, 2018)

"Beran (Univ. of Konstanz, Germany) presents the mathematical foundations of time series analysis at a level suitable for advanced graduate students and researchers in statistics. The presentation is extremely concise ... . the book gives definitions, theorems, and proofs, along with a few exercises and solutions. ... it may be useful to graduate students and researchers as a reference." (B. Borchers, Choice, Vol. 56 (03), November, 2018)