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Introduction to Probability and Statistics for Science, Engineering, and Finance
Af: Walter A. Rosenkrantz Engelsk Paperback
SPAR
kr 58
Introduction to Probability and Statistics for Science, Engineering, and Finance
Af: Walter A. Rosenkrantz Engelsk Paperback
Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, Introduction to Probability and Statistics for Science, Engineering, and Finance illustrates the role and scope of statistics and probability in various fields.

The text first introduces the basics needed to understand and create tables and graphs produced by standard statistical software packages, such as Minitab, SAS, and JMP. It then takes students through the traditional topics of a first course in statistics. Novel features include:

  • Applications of standard statistical concepts and methods to the analysis and interpretation of financial data, such as risks and returns
  • Cox–Ross–Rubinstein (CRR) model, also called the binomial lattice model, of stock price fluctuations
  • An application of the central limit theorem to the CRR model that yields the lognormal distribution for stock prices and the famous Black–Scholes option pricing formula
  • An introduction to modern portfolio theory
  • Mean-standard deviation diagram of a collection of portfolios
  • Computing a stock’s betavia simple linear regression
  • As soon as he develops the statistical concepts, the author presents applications to engineering, such as queuing theory, reliability theory, and acceptance sampling; computer science; public health; and finance. Using both statistical software packages and scientific calculators, he reinforces fundamental concepts with numerous examples.

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    Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, Introduction to Probability and Statistics for Science, Engineering, and Finance illustrates the role and scope of statistics and probability in various fields.

    The text first introduces the basics needed to understand and create tables and graphs produced by standard statistical software packages, such as Minitab, SAS, and JMP. It then takes students through the traditional topics of a first course in statistics. Novel features include:

  • Applications of standard statistical concepts and methods to the analysis and interpretation of financial data, such as risks and returns
  • Cox–Ross–Rubinstein (CRR) model, also called the binomial lattice model, of stock price fluctuations
  • An application of the central limit theorem to the CRR model that yields the lognormal distribution for stock prices and the famous Black–Scholes option pricing formula
  • An introduction to modern portfolio theory
  • Mean-standard deviation diagram of a collection of portfolios
  • Computing a stock’s betavia simple linear regression
  • As soon as he develops the statistical concepts, the author presents applications to engineering, such as queuing theory, reliability theory, and acceptance sampling; computer science; public health; and finance. Using both statistical software packages and scientific calculators, he reinforces fundamental concepts with numerous examples.

    Produktdetaljer
    Sprog: Engelsk
    Sider: 680
    ISBN-13: 9781032477787
    Indbinding: Paperback
    Udgave:
    ISBN-10: 1032477784
    Udg. Dato: 21 jan 2023
    Længde: 40mm
    Bredde: 253mm
    Højde: 176mm
    Oplagsdato: 21 jan 2023
    Forfatter(e): Walter A. Rosenkrantz
    Forfatter(e) Walter A. Rosenkrantz


    Kategori Sandsynlighedsregning og statistik


    Sprog Engelsk


    Indbinding Paperback


    Sider 680


    Udgave


    Længde 40mm


    Bredde 253mm


    Højde 176mm


    Udg. Dato 21 jan 2023


    Oplagsdato 21 jan 2023

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