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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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreSpringer
- Data di pubblicazione2018
- ISBN 10 3319812343
- ISBN 13 9783319812342
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine156
- Contatto del produttorenon disponibile
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Compression-Based Methods of Statistical Analysis and Prediction of Time Series
Editore:
Springer International Publishing, 2018
ISBN 10: 3319812343
ISBN 13: 9783319812342
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Useful for researchers and graduate students in information theory, coding, cryptography, statistics, and computational linguistics Topics of foundational interest Describes applications such as attacks on block ciphers and authorship attri. Codice articolo 448756126
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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
ISBN 10: 3319812343
ISBN 13: 9783319812342
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 156 pp. Englisch. Codice articolo 9783319812342
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Compression-Based Methods of Statistical Analysis and Prediction of Time Series
ISBN 10: 3319812343
ISBN 13: 9783319812342
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Taschenbuch. Condizione: 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. Codice articolo 9783319812342
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Compression-Based Methods of Statistical Analysis and Prediction of Time Series
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Compression-Based Methods of Statistical Analysis and Prediction of Time Series
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Compression-Based Methods of Statistical Analysis and Prediction of Time Series
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Condizione: New. pp. 144. Codice articolo 26380851879
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Compression-Based Methods of Statistical Analysis and Prediction of Time Series
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Compression-Based Methods of Statistical Analysis and Prediction of Time Series
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Condizione: New. Codice articolo ABLIING23Mar3113020107326
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Compression-Based Methods of Statistical Analysis and Prediction of Time Series
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Paperback. Condizione: New. New. book. Codice articolo ERICA80033198123436
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