000 05160nam a22006615i 4500
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_d13634
001 978-3-319-60780-1
003 DE-He213
005 20211215094427.0
008 170831s2018 gw | s |||| 0|eng d
020 _a9783319607801
040 _cAIKTC-KRRC
041 _aENG
072 7 _aTBJ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aTBJ
_2thema
082 0 4 _a519
_223
100 1 _aGorban, Igor I.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aRandomness and Hyper-randomness
_h[electronic resource] /
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXXXII, 216 p. 30 illus., 23 illus. in color.
_bCard Paper
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aMathematical Engineering,
_x2192-4732
520 _aThe monograph compares two approaches that describe the statistical stability phenomenon – one proposed by the probability theory that ignores violations of statistical stability and another proposed by the theory of hyper-random phenomena that takes these violations into account. There are five parts. The first describes the phenomenon of statistical stability. The second outlines the mathematical foundations of probability theory. The third develops methods for detecting violations of statistical stability and presents the results of experimental research on actual processes of different physical nature that demonstrate the violations of statistical stability over broad observation intervals. The fourth part outlines the mathematical foundations of the theory of hyper-random phenomena. The fifth part discusses the problem of how to provide an adequate description of the world. The monograph should be interest to a wide readership: from university students on a first course majoring in physics, engineering, and mathematics to engineers, post-graduate students, and scientists carrying out research on the statistical laws of natural physical phenomena, developing and using statistical methods for high-precision measurement, prediction, and signal processing over broad observation intervals. To read the book, it is sufficient to be familiar with a standard first university course on mathematics.
650 0 _aHumanities and Applied Science
_94642
653 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
653 _aProbability Theory and Stochastic Processes.
653 _aStatistical Physics and Dynamical Systems.
653 _aSignal, Image and Speech Processing.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319607795
776 0 8 _iPrinted edition:
_z9783319607818
776 0 8 _iPrinted edition:
_z9783319869315
830 0 _aMathematical Engineering,
_x2192-4732
856 4 0 _uhttps://doi.org/10.1007/978-3-319-60780-1
_zClick here to access eBook in Springer Nature platform. (Within Campus only.)
942 _cEBOOKS
_2ddc