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Autor(en): 
  • Searle Shayle R.
  • Casella George
  • McCulloch Charles E.
  • Variance Components 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  April 2006  
    Genre:  Schulbücher 
     
    accessible / Angewandte Wahrscheinlichkeitsrechnung u. Statistik / Applied Probability & Statistics / available / book / books / Components / Consumers
    ISBN:  9780470009598 
    EAN-Code: 
    9780470009598 
    Verlag:  Wiley 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 234 mm / B 155 mm / D 33 mm 
    Gewicht:  748 gr 
    Seiten:  536 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    WILEY-INTERSCIENCE PAPERBACK SERIES

    The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

    ". . .Variance Components is an excellent book. It is organized and well written, and provides many references to a variety of topics. I recommend it to anyone with interest in linear models."
    -Journal of the American Statistical Association

    "This book provides a broad coverage of methods for estimating variance components which appeal to students and research workers . . . The authors make an outstanding contribution to teaching and research in the field of variance component estimation."
    -Mathematical Reviews

    "The authors have done an excellent job in collecting materials on a broad range of topics. Readers will indeed gain from using this book . . . I must say that the authors have done a commendable job in their scholarly presentation."
    -Technometrics

    This book focuses on summarizing the variability of statistical data known as the analysis of variance table. Penned in a readable style, it provides an up-to-date treatment of research in the area. The book begins with the history of analysis of variance and continues with discussions of balanced data, analysis of variance for unbalanced data, predictions of random variables, hierarchical models and Bayesian estimation, binary and discrete data, and the dispersion mean model.

      
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