Statistics & Probability Products

  • Reliability Engineering

    Probabilistic Models and Maintenance Methods, Second Edition

    By Joel A. Nachlas

    Without proper reliability and maintenance planning, even the most efficient and seemingly cost-effective designs can incur enormous expenses due to repeated or catastrophic failure and subsequent search for the cause. Today’s engineering students face increasing pressure from employers, customers,…

    Pack - Book & Ebook – 2016-12-08 
    CRC Press

  • 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 – 2016-12-07 
    Chapman and Hall/CRC
    Chapman & Hall/CRC Big Data Series

  • Advances in Metaheuristics

    Applications in Engineering Systems

    By Timothy Ganesan, Pandian Vasant, Irraivan Elamvazuthi

    Advances in Metaheuristics: Applications in Engineering Systems provides details on current approaches utilized in engineering optimization. It gives a comprehensive background on metaheuristic applications, focusing on main engineering sectors such as energy, process, and materials. It discusses…

    Paperback – 2016-12-06 
    CRC Press

  • Poverty and Social Exclusion

    New Methods of Analysis

    Edited by Gianni Betti, Achille Lemmi

    Poverty and inequality remain at the top of the global economic agenda, and the methodology of measuring poverty continues to be a key area of research. This new book, from a leading international group of scholars, offers an up to date and innovative survey of new methods for estimating poverty at…

    Paperback – 2016-12-05 
    Routledge
    Routledge Advances in Social Economics

  • Quantitative Trading

    Algorithms, Analytics, Data, Models, Optimization

    By Xin Guo, Tze Leung Lai, Howard Shek, Samuel Po-Shing Wong

    The first part of this book discusses institutions and mechanisms of algorithmic trading, market microstructure, high-frequency data and stylized facts, time and event aggregation, order book dynamics, trading strategies and algorithms, transaction costs, market impact and execution strategies,…

    Hardback – 2016-12-01 
    Chapman and Hall/CRC

  • Testing R Code

    By Richard James Cotton

    The traditional user of R software is a statistician or data analyst, not a computer programmer. So they do not have the necessary skills to control the quality of their code. This book covers run-time testing (assertions) and development-time testing (unit tests) of R-code, along with tips for…

    Hardback – 2016-12-01 
    Chapman and Hall/CRC
    Chapman & Hall/CRC The R Series

  • Uncertainty Analysis of Experimental Data with R

    By Benjamin David Shaw

    This book covers methods for evaluation of experimental data commonly encountered in science and engineering. Measurements of quantities that vary in a continuous fashion, e.g., the pressure of a gas, cannot be measured exactly and there will always be some uncertainty with these measured values.…

    Hardback – 2016-12-01 
    Chapman and Hall/CRC

  • Algorithmics of Nonuniformity

    By Micha Hofri, Hosam Mahmoud

    The subject is at the crossroads of Discrete Mathematics and Computer Science, with a strong probabilistic flavor. The main tools used before are on the one hand analytic (generating functions and complex analysis), and on the other probabilistic (strong laws, central limit theorems, martingales,…

    Hardback – 2016-11-26 
    CRC Press
    Discrete Mathematics and Its Applications

  • Learning with Uncertainty

    By Xizhao Wang, Junhai Zhai

    Learning with uncertainty covers a broad range of scenarios in machine learning, this book mainly focuses on: (1) Decision tree learning with uncertainty, (2) Clustering under uncertainty environment, (3) Active learning based on uncertainty criterion, and (4) Ensemble learning in a framework of…

    Hardback – 2016-11-23 
    CRC Press

  • Applied Multivariate Statistical Concepts

    By Debbie L. Hahs-Vaughn

    More comprehensive than other texts, this new book covers the classic and cutting edge multivariate techniques used in today’s research. Through clear writing and engaging pedagogy and examples using real data, Hahs-Vaughn walks students through the most used methods to learn why and how to apply…

    Paperback – 2016-11-22 
    Routledge

  • Correspondence Analysis in Practice, Third Edition

    By Michael Greenacre

    Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants, subset CA, multiple CA…

    Hardback – 2016-11-21 
    Chapman and Hall/CRC
    Chapman & Hall/CRC Interdisciplinary Statistics

  • Small Area Estimation and Microsimulation Modeling

    By Azizur Rahman, Ann Harding

    This book gathers valuable information on the theories, applications, advantages, and limitations of all the small area estimation methodologies. It covers direct small area estimation methods and indirect statistical approaches, including empirical best linear unbiased prediction (EBLUP),…

    Hardback – 2016-11-15 
    Chapman and Hall/CRC

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