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Autor(en): 
  • Mario Lefebvre
  • Basic Probability Theory with Applications 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  März 2012  
    Genre:  Schulbücher 
     
    A / Applied mathematics / Economic Theory / Economic theory & philosophy / Economic Theory/Quantitative Economics/Mathematical Methods / Engineering mathematics / Mathematical & statistical software / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Mathematical statistics / Mathematics and Statistics / Maths for computer scientists / Maths for engineers / Probabilities / Probability and Statistics in Computer Science / Probability Theory / Probability Theory and Stochastic Processes / Quantitative Economics / Stochastics
    ISBN:  9781461429234 
    EAN-Code: 
    9781461429234 
    Verlag:  Springer New York 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Springer Undergraduate Texts in Mathematics and Technology  
    Dimensionen:  H 235 mm / B 155 mm / D 20 mm 
    Gewicht:  540 gr 
    Seiten:  356 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The main intended audience for this book is undergraduate students in pure and applied sciences, especially those in engineering. Chapters 2 to 4 cover the probability theory they generally need in their training. Although the treatment of the subject is surely su?cient for non-mathematicians, I intentionally avoided getting too much into detail. For instance, topics such as mixed type random variables and the Dirac delta function are only brie?y mentioned. Courses on probability theory are often considered di?cult. However, after having taught this subject for many years, I have come to the conclusion that one of the biggest problems that the students face when they try to learn probability theory, particularly nowadays, is their de?ciencies in basic di?erential and integral calculus. Integration by parts, for example, is often already forgotten by the students when they take a course on probability. For this reason, I have decided to write a chapter reviewing the basic elements of di?erential calculus. Even though this chapter might not be covered in class, the students can refer to it when needed. In this chapter, an e?ort was made to give the readers a good idea of the use in probability theory of the concepts they should already know. Chapter 2 presents the main results of what is known as elementary probability, including Bayes¿ rule and elements of combinatorial analysis.

      
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