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    Inference and Asymptotics

    Inference and Asymptotics

    Af
    Bog E-bog
    • Format
    • Bog, hardback
    • Engelsk

    Beskrivelse

    This book provides a systematic account of some developments in asymptotic parametric inference from a likelihood-based perspective. It focuses on first-order asymptotic theory, and discusses the need for higher-order theory.

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    Detaljer
    • SprogEngelsk
    • Sidetal372
    • Udgivelsesdato01-03-1994
    • ISBN139780412494406
    • Forlag Chapman & Hall/CRC
    • FormatHardback
    Størrelse og vægt
  • Vægt680 g
    • coffee cup img
    10 cm
    book img
    15,2 cm
    22,9 cm

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    Exponential Family Maximum Likelihood Adjusted Profile Likelihood Bartlett Adjustment Canonical Parameter Cumulative Distribution Function Common Log Odds Ratio D.R. Cox Likelihood Ratio Statistic Log Likelihood Ratio Statistic Log Likelihood Derivatives Modified Profile Likelihood O.E. Barndorff-Nielsen General Log Likelihood Ratio Nuisance Parameters Pivotal Distribution Pivotal Quantities Higher Order Asymptotics Profile Likelihood Profile Log Likelihood Regular Parametric Models Tensorial Derivatives Normal Theory Linear Model Maximum Profile Likelihood Estimate Unconditional Maximum Likelihood Estimates Signed Likelihood Ratio Statistic
    Machine Name: SAXO080