000 | 03057nam a22005415i 4500 | ||
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001 | 978-3-319-32253-7 | ||
003 | DE-He213 | ||
005 | 20200421112556.0 | ||
007 | cr nn 008mamaa | ||
008 | 160519s2016 gw | s |||| 0|eng d | ||
020 |
_a9783319322537 _9978-3-319-32253-7 |
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024 | 7 |
_a10.1007/978-3-319-32253-7 _2doi |
|
050 | 4 | _aQA76.9.D35 | |
072 | 7 |
_aUMB _2bicssc |
|
072 | 7 |
_aURY _2bicssc |
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072 | 7 |
_aCOM031000 _2bisacsh |
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082 | 0 | 4 |
_a005.74 _223 |
100 | 1 |
_aRyabko, Boris. _eauthor. |
|
245 | 1 | 0 |
_aCompression-Based Methods of Statistical Analysis and Prediction of Time Series _h[electronic resource] / _cby Boris Ryabko, Jaakko Astola, Mikhail Malyutov. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
|
300 |
_aIX, 144 p. 29 illus., 21 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _aStatistical Methods Based on Universal Codes -- Applications to Cryptography -- SCOT-Modeling and Nonparametric Testing of Stationary Strings. | |
520 | _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. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aData structures (Computer science). | |
650 | 0 |
_aComputer science _xMathematics. |
|
650 | 0 | _aComputational linguistics. | |
650 | 0 | _aStatistics. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aData Structures, Cryptology and Information Theory. |
650 | 2 | 4 | _aMathematics of Computing. |
650 | 2 | 4 | _aLanguage Translation and Linguistics. |
650 | 2 | 4 | _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
650 | 2 | 4 | _aComputational Linguistics. |
700 | 1 |
_aAstola, Jaakko. _eauthor. |
|
700 | 1 |
_aMalyutov, Mikhail. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319322513 |
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-32253-7 |
912 | _aZDB-2-SCS | ||
942 | _cEBK | ||
999 |
_c59141 _d59141 |