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Showing 1 - 12 of 12 results for “joseph mckean”
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  • Nonparametric Statistical Methods Using R

    by John Kloke, Joseph McKean ...
    Series series Chapman & Hall/CRC Texts in Statistical Science
    Praise for the first edition:“This book would be especially good for the shelf of anyone who already knows nonparametrics, but wants a reference for how to apply those techniques in R.”-The American StatisticianThis thoroughly updated and expanded second edition of Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses. Two new chapters covering ... Read more

    $143.99 CAD

  • Robust Rank-Based and Nonparametric Methods

    Michigan, USA, April 2015: Selected, Revised, and Extended Contributions

    Edited by Regina Y. Liu, Joseph W. McKean ...
    Series series Springer Nature Proceedings excluding Computer Science
    The contributors to this volume include many of the distinguished researchers in this area. Many of these scholars have collaborated with Joseph McKean to develop underlying theory for these methods, obtain small sample corrections, and develop efficient algorithms for their computation. The papers cover the scope of the area, including robust nonparametric rank-based procedures through Bayesian ... Read more

    $179.99 CAD

  • Robust Nonparametric Statistical Methods

    by Thomas P. Hettmansperger, Joseph W. McKean ...
    Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the approach of the first edition by developing rank-based m ... Read more

    $331.99 CAD

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  • System Identification

    Theory for the User

    by Lennart Ljung ...
    The field's leading text, now completely updated.Modeling dynamical systems — theory, methodology, and applications.Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and ... Read more

    $149.99 CAD

  • Time Series Analysis by State Space Methods

    by Siem Jan Koopman, The late James Durbin ...
    Series Book 38 - Oxford Statistical Science Series
    This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and disturbance terms, each of which is modelled separately. The techniques that emerge from this approach are ... Read more

    $98.99 CAD

  • Methods of Multivariate Analysis

    by Alvin C. Rencher, William F. Christensen ...
    Series Book 709 - Wiley Series in Probability and Statistics
    Praise for the Second Edition"This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight . . . There is much practical wisdom in this book that is hard to find elsewhere."-IIE TransactionsFilled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data ... Read more

    $165.99 CAD

  • Hidden Markov Models for Time Series

    An Introduction Using R, Second Edition

    by Walter Zucchini, Iain L. MacDonald, Roland Langrock ...
    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

    $91.99 CAD

  • Applied Regression Analysis

    by Norman R. Draper, Harry Smith ...
    Series Book 326 - Wiley Series in Probability and Statistics
    An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of ... Read more

    $242.99 CAD

  • In All Likelihood

    Statistical Modelling and Inference Using Likelihood

    by Yudi Pawitan ...
    Based on a course in the theory of statistics this text concentrates on what can be achieved using the likelihood/Fisherian method of taking account of uncertainty when studying a statistical problem. It takes the concept ot the likelihood as providing the best methods for unifying the demands of statistical modelling and the theory of inference. Every likelihood concept is illustrated by ... Read more

    $59.99 CAD

  • Mathematical Statistics

    by Dieter Rasch, Dieter Schott ...
    Explores mathematical statistics in its entirety—from the fundamentals to modern methodsThis book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of variance (ANOVA) for models with fixed, random, and mixed effects; regression analysis is also first ... Read more

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  • Modelling Under Risk and Uncertainty

    An Introduction to Statistical, Phenomenological and Computational Methods

    by Etienne de Rocquigny ...
    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

    $123.99 CAD

  • Generalized, Linear, and Mixed Models

    by Charles E. McCulloch, Shayle R. Searle, John M. Neuhaus ...
    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

    $227.99 CAD