New and Published Books
1-10 of 85 results in Chapman & Hall/CRC Texts in Statistical Science
A Text for Statisticians and Quantitative Scientists
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
Theory, Methods and Applications with R Examples
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
Study Design and Data Analysis, Third Edition
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
Additive, Time Series, and Spatial Models Using Random Effects
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
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
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
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
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
A Concise Introduction
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
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
Linear Algebra and Matrix Analysis for Statistics
To Be Published June 2nd 2014
Introduction to Multivariate Analysis: Linear and Nonlinear Modeling
To Be Published June 22nd 2014
Bayesian Networks: With Examples in R
To Be Published June 30th 2014
Linear Models with R, Second Edition
To Be Published July 8th 2014
Statistical Inference: An Integrated Approach, Second Edition
To Be Published August 14th 2014
Analysis of Categorical Data with R
To Be Published August 25th 2014
Introduction to Probability
To Be Published August 25th 2014
Modelling, Inference and Data Analysis: A Second Course in Statistics
To Be Published September 14th 2014
Analysis of Competing Risks Data: Concepts, Methods and Software
To Be Published September 25th 2014
Statistics for Finance
To Be Published October 14th 2014