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020 _a9783319322537
040 _aES-MaUEC
050 4 _aQA280
_b.R933 2016 EB
082 0 4 _a005.74
100 1 _aRyabko, Boris
_999207
_0Local
245 1 0 _aCompression-Based Methods of Statistical Analysis and Prediction of Time Series
_cby Boris Ryabko, Jaakko Astola, Mikhail Malyutov
260 _aCham
_bSpringer International Publishing
_c2016
300 _a1 recurso en línea (IX, 144 p.)
_b29 ilustraciones, 21 ilustraciones en color
336 _aTexto (visual)
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
505 0 _aStatistical Methods Based on Universal Codes -- Applications to Cryptography -- SCOT-Modeling and Nonparametric Testing of Stationary Strings
520 3 _aUniversal 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
710 2 _aSpringerLink (Online service)
_0Local
_9106996
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988 _aEBOOK, EBSPRINGER
650 7 _9141270
_aSeries temporales
_0comprobar BNE19900996240
_2embne
650 7 _aEstructuras de datos (Informática)
_0comprobar BNE19961903418
_2embne
_9151535
700 1 _aAstola, Jaakko
_eautor
_999208
_0Local
700 1 _aMalyutov, Mikhail
_eautor
_999209
_0Local
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-32253-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9783319322537
907 _a.b1295181x
_b10-10-17
_c21-11-16
998 _am
_a_alco
_a_vill
_b26-05-17
_cm
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945 _aQA280 .R933 2016 EB
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