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Showing 1 - 12 of 12 results for “clair l alston”
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  • Case Studies in Bayesian Statistical Modelling and Analysis

    Edited by Clair L. Alston, Kerrie L. Mengersen, Anthony N. Pettitt ...
    Series series Wiley Series in Probability and Statistics
    Provides an accessible foundation to Bayesian analysis using real world modelsThis book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the corresponding model, the computational method, results and inferences as well ... Read more

    $91.00 USD

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  • Statistics

    by BarCharts,Inc ...
    This guide is a must for any student taking statistics. It contains key equations and formulas all sealed with lamination. ... Read more

    $5.99 USD

  • Forecasting in Financial and Sports Gambling Markets

    Adaptive Drift Modeling

    by William S. Mallios ...
    A guide to modeling analyses for financial and sports gambling markets, with a focus on major current eventsAddressing the highly competitive and risky environments of current-day financial and sports gambling markets, Forecasting in Financial and Sports Gambling Markets details the dynamic process of constructing effective forecasting rules based on both graphical patterns and adaptive drift ... Read more

    $107.00 USD

  • Cause and Correlation in Biology

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

    by Bill Shipley ...
    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

    $60.99 USD

  • Bayesian Methods for Ecology

    by Michael A. McCarthy ...
    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

    $52.99 USD

  • Big Data

    A Very Short Introduction

    by Dawn E. Holmes ...
    Series series Very Short Introductions
    Since long before computers were even thought of, data has been collected and organized by diverse cultures across the world. Once access to the Internet became a reality for large swathes of the world's population, the amount of data generated each day became huge, and continues to grow exponentially. It includes all our uploaded documents, video, and photos, all our social media traffic, our ... Read more

    $7.99 USD

  • Linear Models

    A Mean Model Approach

    by William R. Moser, Zbynek Sidak, David Aldous, Pranab K. Sen ...
    Series series Probability and Mathematical Statistics
    Linear models, normally presented in a highly theoretical and mathematical style, are brought down to earth in this comprehensive textbook. Linear Models examines the subject from a mean model perspective, defining simple and easy-to-learn rules for building mean models, regression models, mean vectors, covariance matrices and sums of squares matrices for balanced and unbalanced data sets. The ... Read more

    $108.99 USD

  • Statistics A User Friendly Guide (Especially for the Mathematically Challenged)

    by Gerald Swanson, Ph.D. ...
    Covers basic statistics and applications of major statistical tests. Preents the material in a sequence and approach that can be understood and used by almost anyone. Although this can be(and is) used as a text it is equally as useful as a study-aid for use with courses using more conventional texts. It is especially useful for those frightened by math or who are otherwise not well-prepared ... Read more

    $9.95 USD

  • Introduction to Stochastic Processes with R

    by Robert P. Dobrow ...
    An introduction to stochastic processes through the use of RIntroduction to Stochastic Processes with R is an accessible and well-balanced presentation of the theory of stochastic processes, with an emphasis on real-world applications of probability theory in the natural and social sciences. The use of simulation, by means of the popular statistical software R, makes theoretical results come alive ... Read more

    $115.00 USD

  • Pricing and Forecasting Carbon Markets

    Models and Empirical Analyses

    by Bangzhu Zhu, Julien Chevallier ...
    Series series Economics and Finance (R0)
    This book applies the multidisciplinary approaches of econometrics, statistics, finance and artificial intelligence for pricing and forecasting the carbon market in the context of managerial issues. It explores the related issues of pricing and forecasting the carbon market using theoretical models and empirical analyses, demonstrating how the carbon market, as a policy-based artificial market, is ... Read more

    $80.99 USD

  • Risk - A Multidisciplinary Introduction

    Edited by Daniel Straub, Claudia Klüppelberg, Isabell M. Welpe ...
    Series series Mathematics and Statistics (R0)
    This is a unique book addressing the integration of risk methodology from various fields. It will stimulate intellectual debate and communication across disciplines, promote better risk management practices and contribute to the development of risk management methodologies. Individual chapters explain fundamental risk models and measurement, and address risk and security issues from diverse areas ... Read more

    $49.49 USD

  • A SAS/IML Companion for Linear Models

    by Jamis J. Perrett ...
    Series series Mathematics and Statistics (R0)
    Linear models courses are often presented as either theoretical or applied. Consequently, students may find themselves either proving theorems or using high-level procedures like PROC GLM to analyze data. There exists a gap between the derivation of formulas and analyses that hide these formulas behind attractive user interfaces. This book bridges that gap, demonstrating theory put into practice ... Read more

    $49.99 USD