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Autor(en): 
  • Qi-Man Shao
  • Tze Leung Lai
  • Victor H. Peña
  • Self-Normalized Processes: Limit Theory and Statistical Applications 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

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    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  November 2010  
    Genre:  Schulbücher 
     
    Bootstrap / Bootstrapping / Calculus / largeandmoderatedeviations / lawoftheiteratedlogarithm / Likelihood / Randomvariable / self-normalization
    ISBN:  9783642099267 
    EAN-Code: 
    9783642099267 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Probability and Its Applications  
    Dimensionen:  H 235 mm / B 155 mm / D 16 mm 
    Gewicht:  446 gr 
    Seiten:  292 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    From the reviews:

    "Readership: Research workers in applied probability. . it serves as a reference text for a special-topic course for PhD students; each chapter after the first ends with a collection of problems and the material is based on such a course taught by two of the authors at Stanford and Hong kong. . It is a thorough . study of an area of applied probability that underlies important statistical methodology. . I am sure that the text will encourage others to join them in their work." (Martin Crowder, International Statistical Review, Vol. 77 (3), 2009)

    "The monograph will certainly be of great use as a reference text for researchers working on corresponding problems, but also for Ph.D. and other advanced students who want to learn about the techniques and relevant topics in an interesting and active research area. . this monograph provides a very useful collection of recent and earlier research results in the theory and applications of self-normalized processes and can be used as a standard reference text by graduate students and researchers in the field." (Josef Steinebach, Zentralblatt MATH, Vol. 1165, 2009)

    "This book covers recent developments on self-normalized processes, emphasizing important advances in the area. It is the first book that systematically treats the theory and applications of self-normalized processes. . In all aspects, this is an excellent book, and it is ideal for a second-year Ph.D. level topics course. It is also a great book for anyone who is interested in research in self-normalized processes and related areas." (Fuchang Gao, Mathematical Reviews, Issue 2010 d)
      



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