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Statistical Theory & Methods Books

You are currently browsing 1–10 of 379 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. Implementing Reproducible Research

    Edited by Victoria Stodden, Friedrich Leisch, Roger D. Peng

    Series: Chapman & Hall/CRC The R Series

    In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must...

    Published April 13th 2014 by Chapman and Hall/CRC

  2. Visualization and Verbalization of Data

    Edited by Jorg Blasius, Michael Greenacre

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    Visualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their...

    Published April 9th 2014 by Chapman and Hall/CRC

  3. Past, Present, and Future of Statistical Science

    Edited by Xihong Lin, Christian Genest, David L. Banks, Geert Molenberghs, David W. Scott, Jane-Ling Wang

    Past, Present, and Future of Statistical Science was commissioned in 2013 by the Committee of Presidents of Statistical Societies (COPSS) to celebrate its 50th anniversary and the International Year of Statistics. COPSS consists of five charter member statistical societies in North America and is...

    Published March 25th 2014 by Chapman and Hall/CRC

  4. Statistics in Action

    A Canadian Outlook

    Edited by Jerald F. Lawless

    Commissioned by the Statistical Society of Canada (SSC), Statistics in Action: A Canadian Outlook helps both general readers and users of statistics better appreciate the scope and importance of statistics. It presents the ways in which statistics is used while highlighting key contributions that...

    Published March 2nd 2014 by Chapman and Hall/CRC

  5. Quality Management for Organizations Using Lean Six Sigma Techniques

    By Erick Jones

    The next step in the evolution of the organizational quality field, Lean Six Sigma (LSS) has come of age. However, many challenges to using LSS in lieu of, in conjunction with, or integrated with other quality initiatives remain. An update on the current focus of quality management, Quality...

    Published February 24th 2014 by CRC Press

  6. Growth Curve Analysis and Visualization Using R

    By Daniel Mirman

    Series: Chapman & Hall/CRC The R Series

    Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data. It also provides a way to quantify and analyze individual...

    Published February 23rd 2014 by Chapman and Hall/CRC

  7. Probability and Statistics

    A Didactic Introduction

    Edited by José I. Barragués, Adolfo Morais, Jenaro Guisasola

    With contributions by leaders in the field, this book provides a comprehensive introduction to the foundations of probability and statistics. Each of the chapters covers a major topic and offers an intuitive view of the subject matter, methodologies, concepts, terms, and related applications. The...

    Published February 5th 2014 by CRC Press

  8. 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

  9. Stochastic Modeling and Mathematical Statistics

    A Text for Statisticians and Quantitative Scientists

    By Francisco J. Samaniego

    Series: Chapman & Hall/CRC Texts in Statistical Science

    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

  10. Nonlinear Time Series

    Theory, Methods and Applications with R Examples

    By Randal Douc, Eric Moulines, David Stoffer

    Series: Chapman & Hall/CRC Texts in Statistical Science

    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