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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:  März 2018  
    Genre:  Schulbücher 
     
    B / Economics, finance, business & management / Epidemiology & medical statistics / Mathematical & statistical software / Mathematical and statistical software / Mathematical statistics / Mathematics and Statistics / Maths for computer scientists
    ISBN:  9783319792378 
    EAN-Code: 
    9783319792378 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  813 gr 
    Seiten:  516 
    Illustration:  XX, 516 p. 205 illus., 173 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    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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