Compression-Based Methods of Statistical Analysis and Prediction of Time Series - Hardcover

Ryabko, Boris; Astola, Jaakko; Malyutov, Mikhail

 
9783319322513: Compression-Based Methods of Statistical Analysis and Prediction of Time Series
Hardcover
ISBN 10: 3319322516 ISBN 13: 9783319322513
Verlag: Springer, 2016

Inhaltsangabe

Universal codes efficiently compress sequences generated by stationary and ergodic sources with unknown statistics, and they were originally designed for lossless data compression. In the meantime, it was realized that they can be used for solving important problems of prediction and statistical analysis of time series, and this book describes recent results in this area.

The first chapter introduces and describes the application of universal codes to prediction and the statistical analysis of time series; the second chapter describes applications of selected statistical methods to cryptography, including attacks on block ciphers; and the third chapter describes a homogeneity test used to determine authorship of literary texts.

The book will be useful for researchers and advanced students in information theory, mathematical statistics, time-series analysis, and cryptography. It is assumed that the reader has some grounding in statistics and in information theory.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

Universal codes efficiently compress sequences generated by stationary and ergodic sources with unknown statistics, and they were originally designed for lossless data compression. In the meantime, it was realized that they can be used for solving important problems of prediction and statistical analysis of time series, and this book describes recent results in this area.

The first chapter introduces and describes the application of universal codes to prediction and the statistical analysis of time series; the second chapter describes applications of selected statistical methods to cryptography, including attacks on block ciphers; and the third chapter describes a homogeneity test used to determine authorship of literary texts.

The book will be useful for researchers and advanced students in information theory, mathematical statistics, time-series analysis, and cryptography. It is assumed that the reader has some grounding in statistics and in information theory.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2016
Sprache
Englisch
ISBN 10 
3319322516
ISBN 13 
9783319322513
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
153
Kontakt zum Hersteller
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3,69115 Heidelberg, Germany
Heidelberg
69115
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783319812342: Compression-Based Methods of Statistical Analysis and Prediction of Time Series

Vorgestellte Ausgabe

ISBN 10:  3319812343 ISBN 13:  9783319812342
Verlag: Springer, 2018
Softcover