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Compression-based methods of statistical analysis and prediction of time series[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	519.55
書名/作者:	Compression-based methods of statistical analysis and prediction of time series/ by Boris Ryabko, Jaakko Astola, Mikhail Malyutov.
作者:	Ryabko, Boris.
其他作者:	Astola, Jaakko.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	ix, 144 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Time-series analysis.
標題:	Computer Science.
標題:	Data Structures, Cryptology and Information Theory.
標題:	Mathematics of Computing.
標題:	Language Translation and Linguistics.
標題:	Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
標題:	Computational Linguistics.
ISBN:	9783319322537
ISBN:	9783319322513
內容註:	Statistical Methods Based on Universal Codes -- Applications to Cryptography -- SCOT-Modeling and Nonparametric Testing of Stationary Strings.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-32253-7

Compression-based methods of statistical analysis and prediction of time series[electronic resource] /
Ryabko, Boris.

Compression-based methods of statistical analysis and prediction of time series[electronic resource] /by Boris Ryabko, Jaakko Astola, Mikhail Malyutov. - Cham :Springer International Publishing :2016. - ix, 144 p. :ill., digital ;24 cm.

Statistical Methods Based on Universal Codes -- Applications to Cryptography -- SCOT-Modeling and Nonparametric Testing of Stationary Strings.

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.

ISBN: 9783319322537

Standard No.: 10.1007/978-3-319-32253-7doiSubjects--Topical Terms:

224119
Time-series analysis.

LC Class. No.: QA280

Dewey Class. No.: 519.55

Compression-based methods of statistical analysis and prediction of time series[electronic resource] /
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