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  • Applications and Parameter Estimates
    Nick T. Thomopoulos
    978-3-319-65112-5
    2017
    Edition 1
    • Includes 89 examples that help the reader apply the concepts presented
    • Explains how to compute cumulative probability for all distributions including Erlang, gamma, beta, Weibull, normal, and lognormal
    • Utilizes sample data to estimate parameter values of each distribution
    • Estimates parameter values when no sample data
    • Introduces Left-Truncated Normal, Right-Truncated Normal and Spread Ratio
    • Includes supplementary material: sn.pub/extras

    €260

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