Development of Modern Statistics and Rel

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This book encompasses a wide range of important topics. The articles cover the following areas: asymptotic theory and inference, biostatistics, economics and finance, statistical computing and Bayesian statistics, and statistical genetics. Specifica…

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    Om Development of Modern Statistics and Rel

    This book encompasses a wide range of important topics. The articles cover the following areas: asymptotic theory and inference, biostatistics, economics and finance, statistical computing and Bayesian statistics, and statistical genetics. Specifically, the issues that are studied include large deviation, deviation inequalities, local sensitivity of model misspecification in likelihood inference, empirical likelihood confidence intervals, uniform convergence rates in density estimation, randomized designs in clinical trials, MCMC and EM algorithms, approximation of p-values in multipoint linkage analysis, use of mixture models in genetic studies, and design and analysis of quantitative traits.Contents:An Interview with Professor Yaoting Zhang (Q-W Yao & Z-H Li)A Monte Carlo Gap Test in Computing HPD Regions (M-H Chen et al.)An Example of Algorithm Mining: Covariance Adjustment to Accelerate EM and Gibbs (C-H Liu)Empirical Likelihood Confidence Intervals for the Difference of Two Quantiles of a Population (Y-S Qin & Y-H Wu)Sharing Catastrophe Risk Under Model Uncertainty (X-D Zhu)Some Recent Advances on Response-Adaptive Randomized Designs (F-F Hu)A Childhood Epidemic Model with Birthrate-Dependent Transmission (Y-C Xia)Structure Mixture Regression Models (H-T Zhu & H- P Zhang)and other papersReadership: Graduate students, academics and researchers in statistics; policy-makers in finance; health scientists and practitioners.

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    Detaljer

    Format
    E-Bok
    Filformat
    PDF
    Utgivelsesår
    2003
    Forlag
    World Scientific Publishing Co
    Språk
    Engelsk
    ISBN
    9789812796707
    Sider
    300

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