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Univariate Discrete Distributions - Norman L. Johnson, Adrienne W. Kemp, Samuel Kotz - Google Books

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Lehmanns Verlag. Blick ins Buch. Univariate Discrete Distributions eBook. Norman L. Johnson , Adrienne W. Kemp , Samuel Kotz Autoren.

Univariate Discrete Distributions, 3rd Edition

Ebook-Leseprobe PDF. Balakrishnan andNormal L.

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Balakrishnan and Normal L. Johnson Discover the latest advances in discrete distributionstheory The Third Edition of the critically acclaimedUnivariate Discrete Distributions provides a self-contained,systematic treatment of the theory, derivation, and application ofprobability distributions for count data.

Generalized zeta-functionand q-series distributions have been added and are covered indetail. New families of distributions, including Lagrangian-typedistributions, are integrated into this thoroughly revised andupdated text.

  • Univariate Discrete Distributions - Norman L. Johnson, Adrienne W. Kemp, Samuel Kotz - Google книги.
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Additional applications of univariate discretedistributions are explored to demonstrate the flexibility of thispowerful method. A thorough survey of recent statistical literature drawsattention to many new distributions and results for the classicaldistributions. Approximately new references along with severalnew sections are introduced to reflect the current literature andknowledge of discrete distributions.

New derivations ofdiscrete distributions via stochastic processes and random walksare introduced without unnecessarily complex discussions ofstochastic processes. The univariate continuous uniform distribution on an interval [ a , b ] has the property that all sub-intervals of the same length are equally likely. Other examples of discrete univariate distributions include the binomial , geometric , negative binomial , and Poisson distributions.

Examples of commonly applied continuous univariate distributions [3] include the normal distribution , Student's t distribution , chisquare distribution , F distribution , exponential and gamma distributions. From Wikipedia, the free encyclopedia.


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