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Chapman & Hall/CRC Texts in Statistical Science

Series Editor: Julian J. Faraway, Martin A. Tanner, Bradley. P. Carlin, Jim Zidek, Francesca Dominici

New and Published Books

1-10 of 85 results in Chapman & Hall/CRC Texts in Statistical Science
  1. Stochastic Modeling and Mathematical Statistics

    A Text for Statisticians and Quantitative Scientists

    By Francisco J. Samaniego

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists addresses core issues in post-calculus probability and statistics in a way that is useful for statistics and mathematics majors as well as students in the quantitative sciences. The book’s...

    Published January 13th 2014 by Chapman and Hall/CRC

  2. Nonlinear Time Series

    Theory, Methods and Applications with R Examples

    By Randal Douc, Eric Moulines, David Stoffer

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Designed for researchers and students, Nonlinear Times Series: Theory, Methods and Applications with R Examples familiarizes readers with the principles behind nonlinear time series models—without overwhelming them with difficult mathematical developments. By focusing on basic principles and theory...

    Published January 5th 2014 by Chapman and Hall/CRC

  3. Epidemiology

    Study Design and Data Analysis, Third Edition

    By Mark Woodward

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Highly praised for its broad, practical coverage, the second edition of this popular text incorporated the major statistical models and issues relevant to epidemiological studies. Epidemiology: Study Design and Data Analysis, Third Edition continues to focus on the quantitative aspects of...

    Published December 18th 2013 by Chapman and Hall/CRC

  4. Richly Parameterized Linear Models

    Additive, Time Series, and Spatial Models Using Random Effects

    By James S. Hodges

    Series: Chapman & Hall/CRC Texts in Statistical Science

    A First Step toward a Unified Theory of Richly Parameterized Linear Models Using mixed linear models to analyze data often leads to results that are mysterious, inconvenient, or wrong. Further compounding the problem, statisticians lack a cohesive resource to acquire a systematic, theory-based...

    Published November 3rd 2013 by Chapman and Hall/CRC

  5. Bayesian Data Analysis, Third Edition

    By Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using...

    Published October 31st 2013 by Chapman and Hall/CRC

  6. Introduction to Statistical Process Control

    By Peihua Qiu

    Series: Chapman & Hall/CRC Texts in Statistical Science

    A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, Introduction to Statistical Process Control...

    Published October 13th 2013 by Chapman and Hall/CRC

  7. Nonparametric Methods in Statistics with SAS Applications

    By Olga Korosteleva

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event analysis, density...

    Published August 18th 2013 by Chapman and Hall/CRC

  8. Exercises and Solutions in Statistical Theory

    By Lawrence L. Kupper, Brian. H Neelon, Sean M. O'Brien

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Exercises and Solutions in Statistical Theory helps students and scientists obtain an in-depth understanding of statistical theory by working on and reviewing solutions to interesting and challenging exercises of practical importance. Unlike similar books, this text incorporates many exercises that...

    Published June 23rd 2013 by Chapman and Hall/CRC

  9. Statistical Theory

    A Concise Introduction

    By Felix Abramovich, Ya'acov Ritov

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Designed for a one-semester advanced undergraduate or graduate course, Statistical Theory: A Concise Introduction clearly explains the underlying ideas and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis,...

    Published April 24th 2013 by Chapman and Hall/CRC

  10. Understanding Advanced Statistical Methods

    By Peter Westfall, Kevin S. S. Henning

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum...

    Published April 8th 2013 by Chapman and Hall/CRC