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Autor(en): 
  • Frauke Kreuter
  • Ulrich Kohler
  • Data Analysis Using Stata, Third Edition 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  August 2012  
    Genre:  Schulbücher 
     
    Mathematics / MATHEMATICS / Probability & Statistics / General
    ISBN:  9781597181105 
    EAN-Code: 
    9781597181105 
    Verlag:  Stata Press 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 249 mm / B 187 mm / D 33 mm 
    Gewicht:  1037 gr 
    Seiten:  497 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.

    The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand.

    Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.

      
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