Compression-Based Methods of Statistical Analysis and Prediction of Time Series - Tapa dura

Ryabko, Boris; Astola, Jaakko; Malyutov, Mikhail

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

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2016
Idioma
Inglés
ISBN 10 
3319322516
ISBN 13 
9783319322513
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
156
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Alemania

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

Edición Destacada

ISBN 10:  3319812343 ISBN 13:  9783319812342
Editorial: Springer, 2018
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