Skip to Content

Books by Subject

Statistical Theory & Methods Books

You are currently browsing 1–10 of 513 new and published books in the subject of Statistical Theory & Methods — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books

  1. Current Trends in Bayesian Methodology with Applications

    Edited by Satyanshu K. Upadhyay, Umesh Singh, Dipak K. Dey, Appaia Loganathan

    Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis, spatial statistics,...

    Published May 21st 2015 by Chapman and Hall/CRC

  2. Graphical Data Analysis with R

    By Antony Unwin

    Series: Chapman & Hall/CRC The R Series

    See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages...

    Published May 20th 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. Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS

    By Hassan M. Khormi, Lalit Kumar

    Master GIS Applications on Modelling and Mapping the Risks of Diseases Infections transmitted by mosquitoes, ticks, triatomine bugs, sandflies, and black flies cause significant rates of death and disease, especially in developing countries. Why are certain places more susceptible to vector-borne...

    Published May 1st 2015 by CRC Press

  5. Modeling to Inform Infectious Disease Control

    By Niels G. Becker

    Series: Chapman & Hall/CRC Biostatistics Series

    Effectively Assess Intervention Options for Controlling Infectious Diseases Our experiences with the human immunodeficiency virus (HIV), severe acute respiratory syndrome (SARS), and Ebola virus disease (EVD) remind us of the continuing need to be vigilant against the emergence of new infectious...

    Published April 28th 2015 by Chapman and Hall/CRC

  6. Data Science in R

    A Case Studies Approach to Computational Reasoning and Problem Solving

    By Deborah Nolan, Duncan Temple Lang

    Series: Chapman & Hall/CRC The R Series

    Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and Computation Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the...

    Published April 21st 2015 by Chapman and Hall/CRC

  7. Robust Methods for Data Reduction

    By Alessio Farcomeni, Luca Greco

    Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal component analysis, canonical...

    Published April 16th 2015 by Chapman and Hall/CRC

  8. Mathematical Statistics

    Basic Ideas and Selected Topics, Volume I, Second Edition

    By Peter .J. Bickel, Kjell A. Doksum

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition presents fundamental, classical statistical concepts at the doctorate level. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision theory. This edition...

    Published April 13th 2015 by Chapman and Hall/CRC

  9. Adaptive Designs for Sequential Treatment Allocation

    By Alessandro Baldi Antognini, Alessandra Giovagnoli

    Series: Chapman & Hall/CRC Biostatistics Series

    Adaptive Designs for Sequential Treatment Allocation presents a rigorous theoretical treatment of the results and mathematical foundation of adaptive design theory. The book focuses on designing sequential randomized experiments to compare two or more treatments incorporating information accrued...

    Published April 6th 2015 by Chapman and Hall/CRC

  10. 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