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Stochastic Modeling Series eBook Series

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  • Stable Non-Gaussian Random Processes

    Stochastic Models with Infinite Variance

    by Gennady Samoradnitsky ...
    Series series Stochastic Modeling Series
    This book serves as a standard reference, making this area accessible not only to researchers in probability and statistics, but also to graduate students and practitioners. The book assumes only a first-year graduate course in probability. Each chapter begins with a brief overview and concludes with a wide range of exercises at varying levels of difficulty. The authors supply detailed hints for ... Read more

    $280.00 USD

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  • Doing Data Science

    Straight Talk from the Frontline

    by Cathy O'Neil, Rachel Schutt ...
    Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter ... Read more

    $28.99 USD

  • An Introduction to Stochastic Modeling, Student Solutions Manual (e-only)

    by Mark Pinsky ...
    An Introduction to Stochastic Modeling, Student Solutions Manual (e-only) ... Read more

    $9.99 USD

  • Summary and Analysis of The Signal and the Noise: Why So Many Predictions Fail—but Some Don't

    Based on the Book by Nate Silver

    by Worth Books ...
    Series series Smart Summaries
    So much to read, so little time? This brief overview of The Signal and the Noise tells you what you need to know—before or after you read Nate Silver's book.Crafted and edited with care, Worth Books set the standard for quality and give you the tools you need to be a well-informed reader.This short summary and analysis of The Signal and the Noise by Nate Silver includes:Historical contextChapter ... Read more

    Was $4.99 USD Now $0.99 USD or Free with Kobo Plus

  • Bayesian Networks

    An Introduction

    by Timo Koski, John Noble ...
    Series Book 924 - Wiley Series in Probability and Statistics
    Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions ... Read more

    $95.00 USD

  • Mathematical Modelling of Zombies

    Edited by Robert Smith? ...
    In this terrible new COVID-19 world, the University of Ottawa is doing its part by offering a 50% discount on this very important book. We decided not to rewrite the witty book description, though we realize it is tone-deaf at the present moment, as we wanted to give readers a sense of the tone of this title. But don’t be deceived: while a fun read, this book will help you better understand how ... Read more

    $10.99 USD

  • Evidence Synthesis for Decision Making in Healthcare

    by Nicky J. Welton, Alexander J. Sutton, Keith R. Abrams, A. E. Ades, Nicola Cooper ...
    Series Book 127 - Statistics in Practice
    In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and cost-effective. Usually a single study will not fully address these issues and it is desirable to synthesize evidence from multiple sources. This book aims to provide a practical guide to evidence synthesis for the purpose of decision making, starting ... Read more

    $69.00 USD

  • Nonparametric Statistical Methods

    by Myles Hollander, Douglas A. Wolfe, Eric Chicken ...
    Series Book 751 - Wiley Series in Probability and Statistics
    Praise for the Second Edition“This book should be an essential part of the personal library of every practicing statistician.”*—*TechnometricsThoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new problems from real-life situations. The book continues to emphasize the importance of ... Read more

    $118.00 USD

  • Statistical Methods Of Analysis

    by Chin Long Chiang ...
    This textbook systematically presents fundamental methods of statistical analysis: from probability and statistical distributions, through basic concepts of statistical inference, to a collection of methods of analysis useful for scientific research. It is rich in tables, diagrams, and examples, in addition to theoretical justification of the methods of analysis introduced. Each chapter has a ... Read more

    $50.99 USD

  • Bayesian Modeling Using WinBUGS

    by Ioannis Ntzoufras ...
    Series Book 698 - Wiley Series in Computational Statistics
    A hands-on introduction to the principles of Bayesian modeling using WinBUGSBayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings. The author provides an accessible treatment of the topic, offering readers a smooth introduction to the principles of Bayesian modeling with detailed guidance ... Read more

    $149.00 USD

  • Mathematical Statistics With Applications

    by Asha Seth Kapadia, Wenyaw Chan, Lemuel A. Moyé ...
    Series series Statistics: A Series of Textbooks and Monographs
    Mathematical statistics typically represents one of the most difficult challenges in statistics, particularly for those with more applied, rather than mathematical, interests and backgrounds. Most textbooks on the subject provide little or no review of the advanced calculus topics upon which much of mathematical statistics relies and furthermore contain material that is wholly theoretical, thus ... Read more

    $69.99 USD

  • Predictive Inference

    by Seymour Geisser ...
    Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable inference and its advantages over parametric inference. While the book discusses a variety of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, it is devoted ... Read more

    $91.99 USD