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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

11-20 of 94 results in Chapman & Hall/CRC Texts in Statistical Science
  1. Linear Algebra and Matrix Analysis for Statistics

    By Sudipto Banerjee, Anindya Roy

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Linear Algebra and Matrix Analysis for Statistics offers a gradual exposition to linear algebra without sacrificing the rigor of the subject. It presents both the vector space approach and the canonical forms in matrix theory. The book is as self-contained as possible, assuming no prior knowledge...

    Published June 6th 2014 by Chapman and Hall/CRC

  2. Introduction to Multivariate Analysis

    Linear and Nonlinear Modeling

    By Sadanori Konishi

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling shows how multivariate analysis is widely used for extracting useful information and patterns from multivariate data and for understanding the structure of random...

    Published June 6th 2014 by Chapman and Hall/CRC

  3. Statistical Inference with Medical Applications

    By James Carpenter

    Series: Chapman & Hall/CRC Texts in Statistical Science

    This book presents the concepts of statistical inference for students from non-mathematical backgrounds. Written at a level that appeals to those without a strong background in mathematics, and with its application and example-orientated approach, it is highly relevant to those in both academia and...

    Published April 21st 2014 by Chapman and Hall/CRC

  4. Stochastic Modeling and Mathematical Statistics

    A Text for Statisticians and Quantitative Scientists

    By Francisco J. Samaniego

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Provides a Solid Foundation for Statistical Modeling and Inference and Demonstrates Its Breadth of Applicability 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...

    Published January 14th 2014 by Chapman and Hall/CRC

  5. 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 6th 2014 by Chapman and Hall/CRC

  6. 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 19th 2013 by Chapman and Hall/CRC

  7. 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 4th 2013 by Chapman and Hall/CRC

  8. 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 November 1st 2013 by Chapman and Hall/CRC

  9. 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 14th 2013 by Chapman and Hall/CRC

  10. 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 19th 2013 by Chapman and Hall/CRC