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Statistics Books

You are currently browsing 1–10 of 741 new and published books in the subject of Statistics — 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

  1. Mathematical Statistics

    Basic Ideas and Selected Topics, Volume I, Second Edition

    By Peter .J. Bickel, Kjell A. Doksum

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition presents fundamental, classical statistical concepts at the doctorate level. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision theory. This edition...

    Published March 24th 2015 by Chapman and Hall/CRC

  2. Introductory Statistics for the Health Sciences

    By Lise DeShea, Larry E. Toothaker

    Introductory Statistics for the Health Sciences takes students on a journey to a wilderness where science explores the unknown, providing students with a strong, practical foundation in statistics. Using a color format throughout, the book contains engaging figures that illustrate real data sets...

    Published March 22nd 2015 by Chapman and Hall/CRC

  3. Understanding Political Science Statistics

    Observations and Expectations in Political Analysis

    By Peter Galderisi

    In politics, you begin by asking theoretically interesting questions. Sometimes statistics can help answer those questions. When it comes to applied statistics, students shouldn’t just learn a vast array of formula—they need to learn the basic concepts of statistics as solutions to particular...

    Published March 16th 2015 by Routledge

  4. Statistical Reinforcement Learning

    Modern Machine Learning Approaches

    By Masashi Sugiyama

    Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

    Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward signals with its past actions. With numerous successful applications in business intelligence, plant control, and gaming, the RL framework is ideal for...

    Published March 15th 2015 by Chapman and Hall/CRC

  5. Actuarial Models

    The Mathematics of Insurance, Second Editon, 2nd Edition

    By Vladimir I. Rotar

    Published March 14th 2015 by Chapman and Hall/CRC

  6. Pareto Distributions Second Edition

    By Barry C. Arnold

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Since the publication of the first edition over 30 years ago, the literature related to Pareto distributions has flourished to encompass computer-based inference methods. Pareto Distributions, Second Edition provides broad, up-to-date coverage of the Pareto model and its extensions. This edition...

    Published March 9th 2015 by Chapman and Hall/CRC

  7. Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition

    By Nicholas J. Horton, Ken Kleinman

    Improve Your Analytical Skills Incorporating the latest R packages as well as new case studies and applications, Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition covers the aspects of R most often used by statistical analysts. New users of R will find the...

    Published March 9th 2015 by Chapman and Hall/CRC

  8. Mendelian Randomization

    Methods for Using Genetic Variants in Causal Estimation

    By Stephen Burgess, Simon G. Thompson

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Presents the Terminology and Methods of Mendelian Randomization for Epidemiological Studies Mendelian randomization uses genetic instrumental variables to make inferences about causal effects based on observational data. It, therefore, can be a reliable way of assessing the causal nature of risk...

    Published March 5th 2015 by Chapman and Hall/CRC

  9. Producing High-Quality Figures Using SAS/GRAPH® and ODS Graphics Procedures

    By Charlie Chunhua Liu

    Create Top-Quality Figures Using SAS Producing High-Quality Figures Using SAS/GRAPH® and ODS Graphics Procedures gives statisticians and SAS programmers practical guidance on presenting research data in high-quality figures that meet the publication requirements of academic institutions and various...

    Published February 5th 2015 by Chapman and Hall/CRC

  10. Machine Translation

    By Pushpak Bhattacharyya

    Three paradigms have dominated machine translation (MT)—rule-based machine translation (RBMT), statistical machine translation (SMT), and example-based machine translation (EBMT). These paradigms differ in the way they handle the three fundamental processes in MT—analysis, transfer, and generation...

    Published January 12th 2015 by Chapman and Hall/CRC