Elements of Distribution Theory
This detailed introduction to distribution theory is designed as a text for the probability portion of the first year statistical theory sequence for Master's and PhD students in statistics, biostatistics and econometrics. The text uses no measure theory, requiring only a background in calculus and linear algebra. Topics 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 and orthogonal polynomials…
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Produktdetails
- ISBN: 978-0-521-84472-7
- EAN: 9780521844727
- Produktnummer: 1822750
- Verlag: Cambridge University Press
- Sprache: Englisch
- Erscheinungsjahr: 2015
- Seitenangabe: 528 S.
- Masse: H26.0 cm x B18.3 cm x D3.2 cm 1'179 g
- Abbildungen: HC gerader Rücken kaschiert
- Gewicht: 1179
Über den Autor
Thomas A. Severini received his Ph.D. in Statistics from the University of Chicago. He is now a Professor of Statistics at Northwestern University. He has also written Likelihood Methods in Statistics. He has published extensively in statistical journals such as Biometrika, the Journal of the American Statistical Association and the Journal of the Royal Statistical Society. He is a member of the Institute of Mathematical Statistics and the American Statistical Association.
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