000 05440nam a22006255i 4500
999 _c11828
_d11828
001 978-3-319-43585-5
003 DE-He213
005 20211217160410.0
008 161017s2017 gw | s |||| 0|eng d
020 _a9783319435855
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 4 _a Statistical Stability Phenomenon
_h[electronic resource] /
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXXXIX, 322 p. 115 illus., 7 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 _aThis monograph investigates violations of statistical stability of physical events, variables, and processes and develops a new physical-mathematical theory taking into consideration such violations – the theory of hyper-random phenomena. There are five parts. The first describes the phenomenon of statistical stability and its features, and develops methods for detecting violations of statistical stability, in particular when data is limited. The second part presents several examples of real processes of different physical nature and demonstrates the violation of statistical stability over broad observation intervals. The third part outlines the mathematical foundations of the theory of hyper-random phenomena, while the fourth develops the foundations of the mathematical analysis of divergent and many-valued functions. The fifth part contains theoretical and experimental studies of statistical laws where there is violation of statistical stability. The monograph should be of particular interest to engineers and scientists in general who study the phenomenon of statistical stability and use statistical methods for high-precision measurements, prediction, and signal processing over long observation intervals.
650 0 _aHumanities and Applied Science
_94642
653 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
653 _aMathematical Applications in the Physical Sciences.
653 _aStatistical Physics and Dynamical Systems.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319435848
776 0 8 _iPrinted edition:
_z9783319435862
776 0 8 _iPrinted edition:
_z9783319828633
830 0 _aMathematical Engineering,
_x2192-4732
856 4 0 _uhttps://doi.org/10.1007/978-3-319-43585-5
_zClick here to access eBook in Springer Nature platform. (Within Campus only.)
942 _cEBOOKS
_2ddc