Compression-Based Methods of Statistical Analysis and Prediction of Time Series
Ryabko, Boris; Astola, Jaakko; Malyutov, Mikhail
ISBN 10: 3319812343 ISBN 13: 9783319812342
Editorial: Springer, 2018
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Ria Christie Collections, Uxbridge, Reino Unido
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Descripción
Descripción:
In. N° de ref. del artículo ria9783319812342_new
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.
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.
Detalles bibliográficos
Título: Compression-Based Methods of Statistical ...
Editorial: Springer
Año de publicación: 2018
Encuadernación: Encuadernación de tapa blanda
Condición: New
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Compression-Based Methods of Statistical Analysis and Prediction of Time Series
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783319812342
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Taschenbuch. Condición: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 156 pp. Englisch. Nº de ref. del artículo: 9783319812342
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Compression-Based Methods of Statistical Analysis and Prediction of Time Series
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Springer International Publishing Mai 2018, 2018
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ISBN 13: 9783319812342
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