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  • Empirical Bayes

    Some Tools, Rules, and Duals

    Series Book 69 - Econometric Society Monographs
    Empirical Bayes methods as envisioned by Herbert Robbins are becoming an essential element of the statistical toolkit. In Empirical Bayes: Tools, Rules, and Duals, Roger Koenker and Jiaying Gu offer a unified view of these methods. They stress recent computational developments for nonparametric estimation of mixture models, not only for the traditional Gaussian and Poisson settings, but for a wide ... Read more

    $114.79 USD

  • Quantile Regression

    by Roger Koenker ...
    Series Book 38 - Econometric Society Monographs
    Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. By complementing the exclusive focus of classical least squares regression on the conditional mean, quantile regression offers a systematic strategy for examining how covariates influence the location, scale and shape of the entire response distribution. This ... Read more

    $49.19 USD

  • Handbook of Quantile Regression

    Series series Chapman & Hall/CRC Handbooks of Modern Statistical Methods
    Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case. In contrast to conventional mean regression that minimizes sums of squared residuals, median regression minimizes sums of absolute residuals; quantile ... Read more

    $73.99 USD

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  • Computer Age Statistical Inference

    Algorithms, Evidence, and Data Science

    Series Book 5 - Institute of Mathematical Statistics Monographs
    The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating ... Read more

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  • Hidden Markov Models for Time Series

    An Introduction Using R, Second Edition

    Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses.After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian ... Read more

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  • Foundations of Linear and Generalized Linear Models

    by Alan Agresti ...
    Series series Wiley Series in Probability and Statistics
    A valuable overview of the most important ideas and results in statistical modelingWritten by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book presents a broad, in-depth overview of the most commonly usedstatistical models by discussing the theory underlying the ... Read more

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  • Modelling Under Risk and Uncertainty

    An Introduction to Statistical, Phenomenological and Computational Methods

    Series Book 980 - Wiley Series in Probability and Statistics
    Modelling has permeated virtually all areas of industrial, environmental, economic, bio-medical or civil engineering: yet the use of models for decision-making raises a number of issues to which this book is dedicated:How uncertain is my model ? Is it truly valuable to support decision-making ? What kind of decision can be truly supported and how can I handle residual uncertainty ? How much ... Read more

    $99.00 USD

  • Generalized, Linear, and Mixed Models

    Series Book 651 - Wiley Series in Probability and Statistics
    An accessible and self-contained introduction to statistical models-now in a modernized new editionGeneralized, Linear, and Mixed Models, Second Edition provides an up-to-date treatment of the essential techniques for developing and applying a wide variety of statistical models. The book presents thorough and unified coverage of the theory behind generalized, linear, and mixed models and ... Read more

    $170.00 USD

  • Multivariate Statistics: Theory And Applications - Proceedings Of The Ix Tartu Conference On Multivariate Statistics And Xx International Workshop On Matrices And Statistics

    by Tonu Kollo ...
    The book aims to present a wide range of the newest results on multivariate statistical models, distribution theory and applications of multivariate statistical methods. A paper on Pearson-Kotz-Dirichlet distributions by Professor N Balakrishnan contains main results of the Samuel Kotz Memorial Lecture. Extensions of linear models to multivariate exponential dispersion models and Growth Curve ... Read more

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  • Principles of Statistical Inference

    by D. R. Cox ...
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  • Advances on Theoretical and Methodological Aspects of Probability and Statistics

    Edited by N. Balakrishnan ...
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