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“amos golan”

Showing 1 - 12 of 12 results for “amos golan”
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  • Foundations of Info-Metrics

    Modeling, Inference, and Imperfect Information

    by Amos Golan ...
    Info-metrics is the science of modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information. It is at the intersection of information theory, statistical inference, and decision-making under uncertainty. It plays an important role in helping make informed decisions even when there is inadequate or incomplete information because it provides a framework to ... Read more

    $58.39 CAD

  • Advances in Info-Metrics

    Information and Information Processing across Disciplines

    Edited by Min Chen, J. Michael Dunn, Amos Golan, Aman Ullah ...
    Info-metrics is a framework for modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information. It is an interdisciplinary framework situated at the intersection of information theory, statistical inference, and decision-making under uncertainty. In Advances in Info-Metrics, Min Chen, J. Michael Dunn, Amos Golan, and Aman Ullah bring together a group of thirty ... Read more

    $137.59 CAD

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    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

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  • 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

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  • Time Series Analysis: Methods and Applications

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    Series Book 30 - Handbook of Statistics
    The field of statistics not only affects all areas of scientific activity, but also many other matters such as public policy. It is branching rapidly into so many different subjects that a series of handbooks is the only way of comprehensively presenting the various aspects of statistical methodology, applications, and recent developments.The Handbook of Statistics is a series of self-contained ... Read more

    $220.79 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

    Was $100.30 CAD Now $89.31 CAD

  • Spatial Statistics and Spatio-Temporal Data

    Covariance Functions and Directional Properties

    by Michael Sherman ...
    In the spatial or spatio-temporal context, specifying the correct covariance function is fundamental to obtain efficient predictions, and to understand the underlying physical process of interest. This book focuses on covariance and variogram functions, their role in prediction, and appropriate choice of these functions in applications. Both recent and more established methods are illustrated to ... Read more

    $126.99 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

    $59.19 CAD

  • 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

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  • Bayesian Analysis of Stochastic Process Models

    by Mike Wiper, Fabrizio Ruggeri, David Insua ...
    Series Book 978 - Wiley Series in Probability and Statistics
    Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and important applied models.Key features:Explores Bayesian ... Read more

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  • 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

  • The Oxford Handbook of Applied Bayesian Analysis

    Edited by Anthony O' Hagan, Mike West ...
    Series series Oxford Handbooks
    Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application of Bayesian analysis using increasingly realistic stochastic models, and this drives the adoption of Bayesian approaches in many areas of science, ... Read more

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