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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

New and Published Books

1-10 of 110 results in Chapman & Hall/CRC Monographs on Statistics & Applied Probability
  1. Measuring Statistical Evidence Using Relative Belief

    By Michael Evans

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

    A Sound Basis for the Theory of Statistical Inference Measuring Statistical Evidence Using Relative Belief provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It shows that being explicit about how to measure statistical...

    Published June 23rd 2015 by Chapman and Hall/CRC

  2. Stochastic Analysis for Gaussian Random Processes and Fields

    With Applications

    By Vidyadhar S. Mandrekar, Leszek Gawarecki

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

    Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties connecting probabilistic notions. In particular, it studies Gaussian random fields using reproducing kernel Hilbert spaces (RKHSs). The book begins with...

    Published June 23rd 2015 by Chapman and Hall/CRC

  3. Statistical Learning with Sparsity

    The Lasso and Generalizations

    By Trevor Hastie, Robert Tibshirani, Martin Wainwright

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

    Discover New Methods for Dealing with High-Dimensional Data A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents...

    Published May 7th 2015 by Chapman and Hall/CRC

  4. Bayesian Inference for Partially Identified Models

    Exploring the Limits of Limited Data

    By Paul Gustafson

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

    Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts. Drawing on his many years...

    Published April 1st 2015 by Chapman and Hall/CRC

  5. 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 10th 2015 by Chapman and Hall/CRC

  6. Introduction to High-Dimensional Statistics

    By Christophe Giraud

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

    Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing...

    Published December 17th 2014 by Chapman and Hall/CRC

  7. Design and Analysis of Cross-Over Trials, Third Edition

    By Byron Jones, Michael G. Kenward

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

    Design and Analysis of Cross-Over Trials is concerned with a specific kind of comparative trial known as the cross-over trial, in which subjects receive different sequences of treatments. Such trials are widely used in clinical and medical research, and in other diverse areas such as veterinary...

    Published October 8th 2014 by Chapman and Hall/CRC

  8. Hierarchical Modeling and Analysis for Spatial Data, Second Edition

    By Sudipto Banerjee, Bradley P. Carlin, Alan E. Gelfand

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

    Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling Since the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the size of its predecessor, Hierarchical Modeling...

    Published September 12th 2014 by Chapman and Hall/CRC

  9. Robust Cluster Analysis and Variable Selection

    By Gunter Ritter

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

    Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory and applications...

    Published September 2nd 2014 by Chapman and Hall/CRC

  10. Sequential Analysis

    Hypothesis Testing and Changepoint Detection

    By Alexander Tartakovsky, Igor Nikiforov, Michele Basseville

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

    Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and quickest changepoint detection. It also describes important applications in which theoretical results can be used efficiently. The book reviews recent...

    Published August 27th 2014 by Chapman and Hall/CRC