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Autor(en): 
  • David Aldous
  • Probability Approximations Via the Poisson Clumping Heuristic 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  November 1988  
    Genre:  Schulbücher 
     
    MATHEMATICS / Probability & Statistics / General
    ISBN:  9780387968995 
    EAN-Code: 
    9780387968995 
    Verlag:  Springer Nature B.V. 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #77 - Applied Mathematical Sciences  
    Dimensionen:  H 241 mm / B 163 mm / D 25 mm 
    Gewicht:  579 gr 
    Seiten:  292 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    If you place a large number of points randomly in the unit square, what is the distribution of the radius of the largest circle containing no points? Of the smallest circle containing 4 points? Why do Brownian sample paths have local maxima but not points of increase, and how nearly do they have points of increase? Given two long strings of letters drawn i. i. d. from a finite alphabet, how long is the longest consecutive (resp. non-consecutive) substring appearing in both strings? If an imaginary particle performs a simple random walk on the vertices of a high-dimensional cube, how long does it take to visit every vertex? If a particle moves under the influence of a potential field and random perturbations of velocity, how long does it take to escape from a deep potential well? If cars on a freeway move with constant speed (random from car to car), what is the longest stretch of empty road you will see during a long journey? If you take a large i. i. d. sample from a 2-dimensional rotationally-invariant distribution, what is the maximum over all half-spaces of the deviation between the empirical and true distributions? These questions cover a wide cross-section of theoretical and applied probability. The common theme is that they all deal with maxima or min­ ima, in some sense.

      



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