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  • Model-based Geostatistics for Global Public Health

    Methods and Applications

    Series series Chapman & Hall/CRC Interdisciplinary Statistics
    Model-based Geostatistics for Global Public Health: Methods and Applications provides an introductory account of model-based geostatistics, its implementation in open-source software and its application in public health research. In the public health problems that are the focus of this book, the authors describe and explain the pattern of spatial variation in a health outcome or exposure ... Read more

    $68.99 USD

  • Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

    Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    Retaining all the material from the second edition and adding substantial new material, this third edition presents models and statistical methods for analyzing spatially referenced point process data. Reflected in the title, this edition now covers spatio-temporal point patterns. It also incorporates the use of R through several packages dedicated to the analysis of spatial point process data, ... Read more

    $65.99 USD

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    A User's Guide to Path Analysis, Structural Equations and Causal Inference with R

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    Many problems in biology require an understanding of the relationships among variables in a multivariate causal context. Exploring such cause-effect relationships through a series of statistical methods, this book explains how to test causal hypotheses when randomised experiments cannot be performed. This completely revised and updated edition features detailed explanations for carrying out ... Read more

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  • Latent Variable Models and Factor Analysis

    A Unified Approach

    Series Book 904 - Wiley Series in Probability and Statistics
    Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable is also introduced along with related techniques for ... Read more

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  • Analysis of Longitudinal Data

    Series Book 25 - Oxford Statistical Science Series
    The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural and biomedical sciences. The main topics discussed are design issues, exploratory methods of analysis, linear ... Read more

    $54.99 USD

  • 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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  • Introduction to WinBUGS for Ecologists

    Bayesian Approach to Regression, ANOVA, Mixed Models and Related Analyses

    by Marc Kéry ...
    Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software. It offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set. Such an understanding is basic to the development of inference models tailored to specific sampling and ecological scenarios. ... 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

  • Bayesian Analysis of Stochastic Process Models

    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

    $101.00 USD

  • 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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  • Bayesian Methods for Ecology

    The interest in using Bayesian methods in ecology is increasing, however many ecologists have difficulty with conducting the required analyses. McCarthy bridges that gap, using a clear and accessible style. The text also incorporates case studies to demonstrate mark-recapture analysis, development of population models and the use of subjective judgement. The advantages of Bayesian methods, are ... Read more

    $52.49 USD

  • Applied Statistical Inference

    Likelihood and Bayes

    Series series Mathematics and Statistics (R0)
    This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research and the central role of the likelihood function. The rest of the book is divided into three parts. The first describes likelihood-based inference from a frequentist ... Read more

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