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Autor(en): 
  • Igor I. Gorban
  • The Statistical Stability Phenomenon 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juni 2018  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Applications of Mathematics / Applied mathematics / B / Complex systems / Dynamical systems / Dynamics & statics / engineering / Engineering mathematics / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Mathematical Applications in the Physical Sciences / Mathematical modelling / Mathematical physics / Measurement / Measurement Science and Instrumentation / Physical measurements / Probability & statistics / Scientific standards, measurement etc / Statistical physics / Statistical Physics and Dynamical Systems / Statistics / Theoretical, Mathematical and Computational Physics
    ISBN:  9783319828633 
    EAN-Code: 
    9783319828633 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Mathematical Engineering  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  557 gr 
    Seiten:  322 
    Illustration:  XXXIX, 322 p. 115 illus., 7 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This 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.
      
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