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

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

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.

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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.

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  • VerlagSpringer
  • Erscheinungsdatum2018
  • ISBN 10 3319812343
  • ISBN 13 9783319812342
  • EinbandTapa blanda
  • SpracheEnglisch
  • Anzahl der Seiten156
  • Kontakt zum HerstellerNicht verfügbar

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9783319322513: Compression-Based Methods of Statistical Analysis and Prediction of Time Series

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ISBN 10:  3319322516 ISBN 13:  9783319322513
Verlag: Springer, 2016
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Boris Ryabko
ISBN 10: 3319812343 ISBN 13: 9783319812342
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9783319812342

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Ryabko, Boris; Astola, Jaakko; Malyutov, Mikhail
Verlag: Springer, 2018
ISBN 10: 3319812343 ISBN 13: 9783319812342
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