Statistics for Business, Finance & Economics Products

  • Deep Data Analytics for New Product Development

    1st Edition

    By Walter R. Paczkowski

    This book presents and develops the deep data analytics for providing the information needed for successful new product development. Deep Data Analytics for New Product Development has a simple theme: information about what customers need and want must be extracted from data to effectively guide…

    Paperback – 2020-03-10 
    Routledge

  • Time Series

    A First Course with Bootstrap Starter, 1st Edition

    By Tucker S. McElroy, Dimitris N. Politis

    Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych of (i) mathematical completeness, (ii) computational illustration and implementation, and (iii) conciseness and accessibility to upper-level undergraduate and M.S.…

    Hardback – 2020-01-03 
    Chapman and Hall/CRC
    Chapman & Hall/CRC Texts in Statistical Science

  • The Theory of Everything

    Quantum and Relativity is everywhere – A Fermat Universe, 1st Edition

    By Norbert Schwarzer

    The book unifies quantum theory and the general theory of relativity. As an unsolved problem for about 100 years and influencing so many fields, this is probably of some importance to the scientific community. Examples like Higgs field, limit to classical Dirac and Klein–Gordon or Schrödinger cases…

    Hardback – 2019-12-20 
    Jenny Stanford Publishing

  • Statistical Programming in SAS

    2nd Edition

    By A. John Bailer

    Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve data analytic problems for more than 40 years. The author includes motivating examples to inspire readers to generate programming…

    Paperback – 2019-12-19 
    Chapman and Hall/CRC

  • Probability and Bayesian Modeling

    1st Edition

    By Jim Albert, Jingchen Hu

    Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and…

    Hardback – 2019-12-17 
    Chapman and Hall/CRC
    Chapman & Hall/CRC Texts in Statistical Science

  • Financial Modelling in Commodity Markets

    1st Edition

    By Viviana Fanelli

    Financial Modelling in Commodity Markets provides a basic and self-contained introduction to the ideas underpinning financial modelling of products in commodity markets. The book offers a concise and operational vision of the main models used to represent, assess and simulate real assets and…

    Paperback – 2019-12-17 
    Chapman and Hall/CRC
    Chapman and Hall/CRC Financial Mathematics Series

  • Practical Spreadsheet Modeling Using @Risk

    1st Edition

    By Dale Lehman, Huybert Groenendaal

    Practical Spreadsheet Modeling Using @Risk provides a guide of how to construct applied decision analysis models in spreadsheets. The focus is on the use of Monte Carlo simulation to provide quantitative assessment of uncertainties and key risk drivers. The book presents numerous examples based on…

    Hardback – 2019-11-29 
    Chapman and Hall/CRC

  • Commodities

    1st Edition

    Edited by M. A. H. Dempster, Ke Tang

    Since a major source of income for many countries comes from exporting commodities, price discovery and information transmission between commodity futures markets are key issues for continued economic development.This book covers the fundamental theory of and derivatives pricing for major commodity…

    Paperback – 2019-11-29 
    Chapman and Hall/CRC

  • Hands-On Machine Learning with R

    1st Edition

    By Brad Boehmke, Brandon M. Greenwell

    Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply…

    Hardback – 2019-11-21 
    Chapman and Hall/CRC
    Chapman & Hall/CRC The R Series

  • Modelling Spatial and Spatial-Temporal Data

    A Bayesian Approach, 1st Edition

    By Robert P. Haining, Guangquan Li

    Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with small-area spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear…

    Hardback – 2019-11-07 
    Chapman and Hall/CRC
    Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

  • Applied Regression Analysis

    Doing, Interpreting and Reporting, 1st Edition

    By Christer Thrane

    This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data. Contrary to other textbooks on regression, this book is based on the idea that you do not necessarily need to know much about statistics and mathematics to get a firm…

    Paperback – 2019-11-04 
    Routledge

  • Data Mining

    Technologies, Techniques, Tools, and Trends, 1st Edition

    By Bhavani Thuraisingham

    Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges.Three parts divide Data Mining:Part I describes technologies for data mining - database systems, warehousing, machine…

    Paperback – 2019-10-17
    CRC Press

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