Statistics & Probability Products

  • Big Data in Complex and Social Networks

    Edited by My T. Thai, Weili Wu, Hui Xiong

    The ultimate objective of this book is to provide the academic and industrial communities with an in-depth introduction to the recent advances in development, theory, and impacts of Big Data, tailored to applications in complex and social networks. Specifically, the book focuses on how to retrieve,…

    Hardback – 2016-11-04 
    Chapman and Hall/CRC
    Chapman & Hall/CRC Big Data Series

  • Reliability Engineering and Risk Analysis

    A Practical Guide, Third Edition

    By Mohammad Modarres, Mark P. Kaminskiy, Vasiliy Krivtsov

    This undergraduate and graduate textbook provides a practical and comprehensive overview of reliability and risk analysis techniques. Written for engineering students and practicing engineers, the book is multi-disciplinary in scope. The new edition has new topics in classical confidence interval…

    Pack - Book & Ebook – 2016-11-03 
    CRC Press

  • Quantitative Corpus Linguistics with R

    A Practical Introduction, 2nd Edition

    By Stefan Th. Gries

    As in its first edition, Quantitative Corpus Linguistics with R, Second Edition demonstrates how to process corpus-linguistic data with the open source programming language and environment R. Geared towards linguists working with observational data in general and corpus linguists in particular, it…

    Hardback – 2016-10-31 

  • Data Analysis

    A Model Comparison Approach To Regression, ANOVA, and Beyond, Third Edition

    By Charles M. Judd, Gary H. McClelland, Carey S. Ryan

    Paperback – 2016-10-30 

  • Multivariate Statistical Methods

    A Primer, Fourth Edition

    By Bryan F.J. Manly, Jorge A. Navarro Alberto

    Accessible and concise, with minimal mathematics, this fourth edition of a classic textbook on multivariate statistics is perfect as an introduction to the subject for non-statisticians. It covers all the key topics one would expect in a standard course, and the new edition has been updated to…

    Paperback – 2016-10-25 
    Chapman and Hall/CRC

  • C++ for Financial Mathematics

    By John Armstrong

    This book simultaneously introduces C++ programming techniques and numerical techniques for derivative pricing and risk management. The techniques covered include Monte Carlo pricing, finite difference methods, simulations and risk calculations. These numerical methods are used to develop an…

    Hardback – 2016-10-25 
    CRC Press
    Chapman and Hall/CRC Financial Mathematics Series

  • A Factor Model Approach to Derivative Pricing

    By James A. Primbs

    Paperback – 2016-10-17 
    Chapman and Hall/CRC

  • Decision Sciences

    Theory and Practice

    Edited by Raghu Nandan Sengupta, Joydeep Dutta, Aparna Gupta

    This handbook is an endeavour to cover many current, relevant, and essential topics related to decision sciences in a scientific manner. Using this handbook, graduate students, researchers, as well as practitioners from engineering, statistics, sociology, economics, etc. will find a new and…

    Hardback – 2016-10-10 
    CRC Press

  • Modeling and Analysis of Stochastic Systems, Third Edition

    By Vidyadhar G. Kulkarni

    This practical and accessible text enables readers from operations research, business, engineering, public policy and computer science to analyze stochastic systems. It presents the major cases of stochastic processes – discrete and continuous-time Markov chains, renewal processes, regenerative…

    Hardback – 2016-10-04 
    Chapman and Hall/CRC
    Chapman & Hall/CRC Texts in Statistical Science

  • Pragmatics of Uncertainty

    By Joseph B. Kadane

    A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "how would you model uncertainty?" In this book, the author writes about how he has done it using real problems from the past, and offers additional comments about the context in which he was working.…

    Hardback – 2016-09-30 
    Chapman and Hall/CRC
    Chapman & Hall/CRC Texts in Statistical Science

  • Change-Point Analysis in Nonstationary Stochastic Models

    By Boris Brodsky

    This is a monograph on the detection and estimation of changes in non-stationary stochastic models. It covers retrospective and sequential change-point detection, as well as hypothesis testing, in both univariate and multivariate non-stationary models. It is rigorous in the mathematical details and…

    Hardback – 2016-09-30 
    Chapman and Hall/CRC

  • A Concise Introduction to Statistical Inference

    By Jacco Thijssen

    This textbook provides a concise and engaging introduction to the concepts of statistical inference aimed at a non-mathematical audience. The book uses very little calculus and lots of illustrative examples, primarily taken from economics, psychology and the medical sciences. The book introduces…

    Paperback – 2016-09-29 
    Chapman and Hall/CRC

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