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Autor(en): 
  • Sanford Weisberg
  • Applied Linear Regression 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Februar 2014  
    Genre:  Schulbücher 
     
    Angew. Wahrscheinlichkeitsrechn. u. Statistik / Modelle / ANOVA / Applied Probability & Statistics - Models / assessing fit / effects plots / expansion of the bootstrap / invariance of linear regression / lack-of-fit tests
    ISBN:  9781118386088 
    EAN-Code: 
    9781118386088 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Wiley Series in Probability and Statistics  
    Dimensionen:  H 236 mm / B 160 mm / D 23 mm 
    Gewicht:  635 gr 
    Seiten:  368 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    Praise for the Third Edition

    "...this is an excellent book which could easily be used as a course text..."
    ?International Statistical Institute

    The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression modeling. Demonstrating the practical applications of linear regression analysis techniques, the Fourth Edition uses interesting, real-world exercises and examples.

    Stressing central concepts such as model building, understanding parameters, assessing fit and reliability, and drawing conclusions, the new edition illustrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. While maintaining the accessible appeal of each previous edition, Applied Linear Regression, Fourth Edition features:

    • Graphical methods stressed in the initial exploratory phase, analysis phase, and summarization phase of an analysis
    • In-depth coverage of parameter estimates in both simple and complex models, transformations, and regression diagnostics
    • Newly added material on topics including testing, ANOVA, and variance assumptions
    • Updated methodology, such as bootstrapping, cross-validation binomial and Poisson regression, and modern model selection methods

    Applied Linear Regression, Fourth Edition is an excellent textbook for upper-undergraduate and graduate-level students, as well as an appropriate reference guide for practitioners and applied statisticians in engineering, business administration, economics, and the social sciences.

      



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