Statistics & Probability Products

  • Analyzing Health Data in R for SAS Users

    By Monika Maya Wahi, Peter Seebach

    Analyzing Health Data in R for SAS Users is aimed at helping health data analysts who use SAS accomplish some of the same tasks in R. It is targeted to public health students and professionals who have a background in biostatistics and SAS software, but are new to R. For professors, it is useful…

    Hardback – 2017-11-01 
    Chapman and Hall/CRC

  • Recursive Identification and Parameter Estimation

    By Han-Fu Chen, Wenxiao Zhao

    Recursive Identification and Parameter Estimation describes a recursive approach to solving system identification and parameter estimation problems arising from diverse areas. Supplying rigorous theoretical analysis, it presents the material and proposed algorithms in a manner that makes it easy to…

    Paperback – 2017-10-31 
    CRC Press

  • Statistical Process Control

    A Pragmatic Approach

    By Stephen Mundwiller

    People with minimal math skills, and even those with advanced math skills, have difficulty grasping the intuitive concepts behind Statistical Process Control (SPC). Many practitioners do not understand the concepts behind Control Charts, the differences of out of control and out of specification,…

    Hardback – 2017-10-27 
    CRC Press
    Continuous Improvement Series

  • Intuition, Trust, and Analytics

    By Jay Liebowitz, Joanna Paliszkiewicz, Jerzy Gołuchowski

    In order to make informed decisions, there are three important elements: intuition, trust, and analytics. Intuition is based on experiential learning and recent research has shown that those who rely on their “gut feelings” may do better than those who don’t. Analytics, however, are important in a…

    Hardback – 2017-10-26 
    Auerbach Publications
    Data Analytics Applications

  • Applied Biostatistical Principles and Concepts

    Clinicians' Guide to Data Analysis and Interpretation

    By Laurens Holmes, Jr.

    The past three decades have witnessed modern advances in statistical modeling and evidence discovery in biomedical, clinical, and population-based research. With these advances come the challenges in accurate model stipulation and application of models in scientific evidence discovery Applied…

    Hardback – 2017-10-20 
    CRC Press

  • Applied Epidemiologic Principles and Concepts

    Clinicians' Guide to Study Design and Conduct, 2nd Edition

    By Laurens Holmes, Jr.

    This book provides practical knowledge to clinicians and biomedical researchers using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and population levels. Concepts and techniques provided will help researchers design and…

    Hardback – 2017-10-19 
    CRC Press

  • Frontiers in Data Science

    Edited by Matthias Dehmer, Frank Emmert-Streib

    Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation…

    Hardback – 2017-10-17 
    CRC Press
    Chapman & Hall/CRC Big Data Series

  • A Guide to Outcome Modeling In Radiotherapy and Oncology

    Listening to the Data

    Edited by Issam El Naqa

    This book discusses outcome modeling in cancer using analytical and data-driven approaches, both top-down using big data approaches and bottom-up using multi-scale methods. It provides in-depth mathematical background as well as intuitive physical and biological perspectives. Applications in…

    Hardback – 2017-10-15 
    CRC Press
    Series in Medical Physics and Biomedical Engineering

  • Research Analytics

    Boosting University Productivity and Competitiveness through Scientometrics

    Edited by Francisco J. Cantu-Ortiz

    Scientific knowledge is doubling every 10 to 15 years worldwide. Who generates this knowledge? Where is all this information stored? How is it being utilized? What are the main metrics for its use? What kind of impact is this knowledge having aside from economic considerations? These are some…

    Hardback – 2017-10-13 
    Auerbach Publications
    Data Analytics Applications

  • Graph Searching Games and Probabilistic Methods

    By Anthony Bonato, Pawel Pralat

    Graph Searching Games and Probabilistic Methods is the first book that focuses on the intersection of graph searching games and probabilistic methods. The book explores various applications of these powerful mathematical tools to games and processes such as Cops and Robbers, Zombie and Survivors,…

    Hardback – 2017-10-13 
    Chapman and Hall/CRC
    Discrete Mathematics and Its Applications

  • Big Data Data Analytics in Cybersecurity

    Edited by Onur Savas, Julia Deng

    Big data analytics provide more accurate, timely, and actionable decisions for both cybersecurity and IT management. This book gives a comprehensive coverage of state-of-the-art big data analytics in cybersecurity and IT management. The topics include threat analysis, vulnerability identification,…

    Hardback – 2017-10-02 
    Auerbach Publications
    Data Analytics Applications

  • Online Portfolio Selection

    Principles and Algorithms

    By Bin Li, Steven Chu Hong Hoi

    With the aim to sequentially determine optimal allocations across a set of assets, Online Portfolio Selection (OLPS) has significantly reshaped the financial investment landscape. Online Portfolio Selection: Principles and Algorithms supplies a comprehensive survey of existing OLPS principles and…

    Paperback – 2017-10-01 
    CRC Press

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