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    Parametric Statistical Inference

    Parametric Statistical Inference by Lindsey, J. K.;

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    Product details:

    • Publisher OUP Oxford
    • Date of Publication 9 May 1996

    • ISBN 9780198523598
    • Binding Hardback
    • No. of pages512 pages
    • Size 240x161x33 mm
    • Weight 883 g
    • Language English
    • Illustrations line figures, tables
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    Short description:

    Two central unifying components of statistics are the likelihood function and the exponential family. These are here brought together for the first time as the central themes of a book on statistical inference, appropriate as an advanced undergraduate or graduate text in mathematical statistics.

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    Long description:

    Inference involves drawing conclusions about some general phenomenon from limited empirical observations in the face of random variability. Two central unifying components of statistics are the likelihood function and the exponential family. These are here brought together for the first time as the central themes of a book on statistical inference. This book is appropriate as an advanced undergraduate or graduate text in mathematical statistics.

    The author has written a nice, readable book ... at a level understandable to students. . . I strongly recommend the book for any student or researcher of "Statistical Inference" and also to all (mathematical) statisticians.

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    Table of Contents:

    Part 1: Model Building
    Model building
    Exponential family
    Part 2: Inference
    Likelihood
    Goodness of it
    Part 3: Approximations
    Asymptotics
    Factoring the likelihood function
    Part 4: Decisions
    Frequentist decision-making
    Bayesian decision-making
    Part 5: Examples
    Poisson regression
    Binomial regression
    Part 6: Appendices
    A Elements of measure theory
    B Review of probability theory
    C Normal distribution statistics
    D Numerical methods
    Bibliography
    Index

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