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Autor(en): 
  • Sigbert Klinke
  • Bernd Rönz
  • Wolfgang Karl Härdle
  • Introduction to Statistics: Using Interactive MM*Stat Elements 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Januar 2016  
    Genre:  Schulbücher 
     
    Biostatistik / Datenverarbeitung / Anwendungen / Mathematik, Statistik / descriptivestatistics / Estimation / inferentialstatistics / Mathematik / Statistik / Mathematik für Informatiker / Mathematische und statistische Software
    ISBN:  9783319177038 
    EAN-Code: 
    9783319177038 
    Verlag:  Springer 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 241 mm / B 160 mm / D 35 mm 
    Gewicht:  963 gr 
    Seiten:  536 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    MM*Stat, together with its enhanced online version with interactive examples, offers a flexible tool that facilitates the teaching of basic statistics. It covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and estimation theory), and inferential statistics itself (confidence intervals, testing).

    MM*Stat is also designed to help students rework class material independently and to promote comprehension with the help of additional examples. Each chapter starts with the necessary theoretical background, which is followed by a variety of examples. The core examples are based on the content of the respective chapter, while the advanced examples, designed to deepen students' knowledge, also draw on information and material from previous chapters.

    The enhanced online version helps students grasp the complexity and t

    he practical relevance of statistical analysis through interactive examples and is suitable for undergraduate and graduate students taking their first statistics courses, as well as for undergraduate students in non-mathematical fields, e.g. economics, the social sciences etc.

    All R codes and data sets may be downloaded via the quantlet download center. 

      



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