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Cambridge Series in Statistical and Probabilistic Mathematics

- Series Number 17: Elements of Distribution Theory

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Cambridge Series in Statistical and Probabilistic Mathematics
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  • kr. 919,95
  • Leveringstid 2-4 uger
  • Forventet levering 18-12-2018
  • 34%
Format:
Bog, hardback
Udgivelsesdato:
08-08-2005
Sprog:
Engelsk
Sidetal:
528
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  1. Beskrivelse

    This detailed introduction to distribution theory uses no measure theory, making it suitable for students in statistics and econometrics and researchers who use statistical methods. Backgrounds in calculus and linear algebra are important, and a course in elementary mathematical analysis useful, but not required. An appendix summarizes the mathematical definitions and results outlined. Worked examples or Exercises; 10 Tables, unspecified

    Andre udgaver:

    Bog, paperback
    Bog, hardback

  2. Yderligere info
    ISBN13:
    9780521844727
    Vægt:
    1130 g
    Dybde:
    29 mm
    Bredde:
    178 mm
    Højde:
    254 mm
    Nummer i serien:
    17
    Format:
    Hardback
    • Bibliotekernes beskrivelse

      This detailed introduction to distribution theory uses no measure theory, making it suitable for students in statistics and econometrics as well as for researchers who use statistical methods. Good backgrounds in calculus and linear algebra are important and a course in elementary mathematical analysis is useful, but not required. An appendix gives a detailed summary of the mathematical definitions and results that are used in the book. Topics covered range from the basic distribution and density functions, expectation, conditioning, characteristic functions, cumulants, convergence in distribution and the central limit theorem to more advanced concepts such as exchangeability, models with a group structure, asymptotic approximations to integrals, orthogonal polynomials and saddlepoint approximations. The emphasis is on topics useful in understanding statistical methodology; thus, parametric statistical models and the distribution theory associated with the normal distribution are covered comprehensively.

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