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Chapman & Hall/CRC Monographs on Statistics & Applied Probability

Series Editor: Richard L. Smith, Valerie Isham, Howell Tong, Niels Keiding, Thomas A. Louis, Florentina Bunea, Jianqing Fan

New and Published Books

1-10 of 99 results in Chapman & Hall/CRC Monographs on Statistics & Applied Probability
  1. Quasi-Least Squares Regression

    By Justine Shults, Joseph M. Hilbe

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

    Drawing on the authors’ substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression—a computational approach for the estimation of correlation parameters within the framework of generalized...

    Published January 27th 2014 by Chapman and Hall/CRC

  2. Randomised Response-Adaptive Designs in Clinical Trials

    By Anthony C Atkinson, Atanu Biswas

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

    Randomised Response-Adaptive Designs in Clinical Trials presents methods for the randomised allocation of treatments to patients in sequential clinical trials. Emphasizing the practical application of clinical trial designs, the book is designed for medical and applied statisticians, clinicians,...

    Published December 25th 2013 by Chapman and Hall/CRC

  3. Theory of Factorial Design

    Single- and Multi-Stratum Experiments

    By Ching-Shui Cheng

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

    Bringing together both new and old results, Theory of Factorial Design: Single- and Multi-Stratum Experiments provides a rigorous, systematic, and up-to-date treatment of the theoretical aspects of factorial design. To prepare readers for a general theory, the author first presents a unified...

    Published December 20th 2013 by Chapman and Hall/CRC

  4. Constrained Principal Component Analysis and Related Techniques

    By Yoshio Takane

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

    In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial...

    Published October 23rd 2013 by Chapman and Hall/CRC

  5. Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition

    By Peter J. Diggle

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

    Written by a prominent statistician and author, the first edition of this bestseller broke new ground in the then emerging subject of spatial statistics with its coverage of spatial point patterns. Retaining all the material from the second edition and adding substantial new material, Statistical...

    Published July 22nd 2013 by Chapman and Hall/CRC

  6. Analysis of Variance for Functional Data

    By Jin-Ting Zhang

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

    Despite research interest in functional data analysis in the last three decades, few books are available on the subject. Filling this gap, Analysis of Variance for Functional Data presents up-to-date hypothesis testing methods for functional data analysis. The book covers the reconstruction of...

    Published June 17th 2013 by Chapman and Hall/CRC

  7. Mean Field Simulation for Monte Carlo Integration

    By Pierre Del Moral

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

    In the last three decades, there has been a dramatic increase in the use of interacting particle methods as a powerful tool in real-world applications of Monte Carlo simulation in computational physics, population biology, computer sciences, and statistical machine learning. Ideally suited to...

    Published May 19th 2013 by Chapman and Hall/CRC

  8. Statistical Methods for Stochastic Differential Equations

    By Mathieu Kessler, Alexander Lindner, Michael Sorensen

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

    The seventh volume in the SemStat series, Statistical Methods for Stochastic Differential Equations presents current research trends and recent developments in statistical methods for stochastic differential equations. Written to be accessible to both new students and seasoned researchers, each...

    Published May 16th 2012 by Chapman and Hall/CRC

  9. Maximum Likelihood Estimation for Sample Surveys

    By Raymond L. Chambers, David G. Steel, Suojin Wang, Alan Welsh

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

    Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and...

    Published May 1st 2012 by Chapman and Hall/CRC

  10. Extreme Value Methods with Applications to Finance

    By Serguei Y. Novak

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

    Extreme value theory (EVT) deals with extreme (rare) events, which are sometimes reported as outliers. Certain textbooks encourage readers to remove outliers—in other words, to correct reality if it does not fit the model. Recognizing that any model is only an approximation of reality,...

    Published December 19th 2011 by CRC Press