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Statistical Theory & Methods Books

You are currently browsing 1–10 of 508 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. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition

    By Nicholas J. Horton, Ken Kleinman

    Improve Your Analytical Skills Incorporating the latest R packages as well as new case studies and applications, Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition covers the aspects of R most often used by statistical analysts. New users of R will find the...

    Published March 10th 2015 by Chapman and Hall/CRC

  8. Mendelian Randomization

    Methods for Using Genetic Variants in Causal Estimation

    By Stephen Burgess, Simon G. Thompson

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Presents the Terminology and Methods of Mendelian Randomization for Epidemiological Studies Mendelian randomization uses genetic instrumental variables to make inferences about causal effects based on observational data. It, therefore, can be a reliable way of assessing the causal nature of risk...

    Published March 6th 2015 by Chapman and Hall/CRC

  9. Producing High-Quality Figures Using SAS/GRAPH® and ODS Graphics Procedures

    By Charlie Chunhua Liu

    Create Top-Quality Figures Using SAS Producing High-Quality Figures Using SAS/GRAPH® and ODS Graphics Procedures gives statisticians and SAS programmers practical guidance on presenting research data in high-quality figures that meet the publication requirements of academic institutions and various...

    Published February 6th 2015 by Chapman and Hall/CRC

  10. Statistical Methods in Drug Combination Studies

    Edited by Wei Zhao, Harry Yang

    Series: Chapman & Hall/CRC Biostatistics Series

    The growing interest in using combination drugs to treat various complex diseases has spawned the development of many novel statistical methodologies. The theoretical development, coupled with advances in statistical computing, makes it possible to apply these emerging statistical methods in in...

    Published December 19th 2014 by Chapman and Hall/CRC