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  • 1
    Online-Ressource
    Online-Ressource
    Cambridge :Cambridge University Press,
    UID:
    almahu_9947413959802882
    Umfang: 1 online resource (xii, 515 pages) : , digital, PDF file(s).
    ISBN: 9780511610547 (ebook)
    Serie: Cambridge series on statistical and probabilistic mathematics ; 17
    Inhalt: 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.
    Anmerkung: Title from publisher's bibliographic system (viewed on 05 Oct 2015).
    Weitere Ausg.: Print version: ISBN 9780521844727
    Sprache: Englisch
    Fachgebiete: Mathematik
    RVK:
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Buch
    Buch
    Cambridge [u.a.] : Cambridge Univ. Press
    UID:
    b3kat_BV020825435
    Umfang: XII, 515 S. , graph. Darst.
    Ausgabe: 1. publ.
    ISBN: 052184472X , 9780521844727 , 9781107630734
    Serie: Cambridge series in statistical and probabilistic mathematics 17
    Sprache: Englisch
    Fachgebiete: Wirtschaftswissenschaften , Mathematik
    RVK:
    RVK:
    Schlagwort(e): Wahrscheinlichkeitsverteilung ; Lehrbuch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 3
    Online-Ressource
    Online-Ressource
    New York, NY :Cambridge University Press,
    UID:
    almafu_9959242710802883
    Umfang: 1 online resource (xii, 515 pages) : , digital, PDF file(s).
    ISBN: 1-107-15199-6 , 1-281-10852-9 , 9786611108526 , 0-511-34485-6 , 0-511-34447-3 , 0-511-34408-2 , 0-511-56765-0 , 0-511-61054-8 , 0-511-34519-4
    Serie: Cambridge series in statistical and probabilistic mathematics
    Inhalt: 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.
    Anmerkung: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; Preface; 1 Properties of Probability Distributions; 2 Conditional Distributions and Expectation; 3 Characteristic Functions; 4 Moments and Cumulants; 5 Parametric Families of Distributions; 6 Stochastic Processes; 7 Distribution Theory for Functions of Random Variables; 8 Normal Distribution Theory; 9 Approximation of Integrals; 10 Orthogonal Polynomials; 11 Approximation of Probability Distributions; 12 Central Limit Theorems; 13 Approximations to the Distributions of More General Statistics , 14 Higher-Order Asymptotic ApproximationsAppendix 1 Integration with Respect to a Distribution Function; Appendix 2 Basic Properties of Complex Numbers; Appendix 3 Some Useful Mathematical Facts; References; Name Index; Subject Index , English
    Weitere Ausg.: ISBN 1-107-63073-8
    Weitere Ausg.: ISBN 0-521-84472-X
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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