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Statistics & Probability Books

You are currently browsing 1–10 of 1,005 new and published books in the subject of Statistics & Probability — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books – Page 1

  1. Multiple Factor Analysis by Example Using R

    By Jérôme Pagès

    Series: Chapman & Hall/CRC The R Series

    Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the...

    Published November 20th 2014 by Chapman and Hall/CRC

  2. Mathematics for Finance, Business and Economics

    By Irénée Dondjio, Wouter Krasser

    Mastering the basic concepts of mathematics is the key to understanding other subjects such as Economics, Finance, Statistics, and Accounting. Mathematics for Finance, Business and Economics is written informally for easy comprehension. Unlike traditional textbooks it provides a combination of...

    Published November 15th 2014 by Routledge

  3. Handbook of Missing Data Methodology

    By Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, Geert Verbeke

    Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

    Missing data affect nearly every discipline by complicating the statistical analysis of collected data. But since the 1990s, there have been important developments in the statistical methodology for handling missing data. Written by renowned statisticians in this area, Handbook of Missing Data...

    Published November 6th 2014 by Chapman and Hall/CRC

  4. Handbook of Mixed Membership Models and Their Applications

    Edited by Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg

    Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

    In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these flexible modeling...

    Published November 6th 2014 by Chapman and Hall/CRC

  5. Introduction to Statistical Data Analysis for the Life Sciences, Second Edition

    By Claus Thorn Ekstrom, Helle Sørensen

    A Hands-On Approach to Teaching Introductory Statistics Expanded with over 100 more pages, Introduction to Statistical Data Analysis for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in...

    Published November 6th 2014 by Chapman and Hall/CRC

  6. More Statistical and Methodological Myths and Urban Legends

    Edited by Charles E. Lance, Robert J. Vandenberg

    This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are based partially in sound scientific rationale and partially in unfounded lore. Some examples of these “methodological urban legends” are characterized by manuscript critiques such as: (a...

    Published November 5th 2014 by Routledge

  7. Mathematical Statistics for Applied Econometrics

    By Charles B Moss

    An Introductory Econometrics Text Mathematical Statistics for Applied Econometrics covers the basics of statistical inference in support of a subsequent course on classical econometrics. The book shows students how mathematical statistics concepts form the basis of econometric formulations. It also...

    Published October 16th 2014 by Chapman and Hall/CRC

  8. Pricing in General Insurance

    By Pietro Parodi

    Based on the syllabus of the actuarial industry course on general insurance pricing — with additional material inspired by the author’s own experience as a practitioner and lecturer — Pricing in General Insurance presents pricing as a formalised process that starts with collecting information about...

    Published October 15th 2014 by Chapman and Hall/CRC

  9. Nonparametric Statistical Methods Using R

    By John Kloke, Joseph W. McKean

    Series: Chapman & Hall/CRC The R Series

    A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear...

    Published October 9th 2014 by Chapman and Hall/CRC

  10. Analyzing Sensory Data with R

    By Sebastien Le, Thierry Worch

    Series: Chapman & Hall/CRC The R Series

    Choose the Proper Statistical Method for Your Sensory Data Issue Analyzing Sensory Data with R gives you the foundation to analyze and interpret sensory data. The book helps you find the most appropriate statistical method to tackle your sensory data issue. Covering quantitative, qualitative,...

    Published October 9th 2014 by Chapman and Hall/CRC