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Statistics: A Series of Textbooks and Monographs

Series Editor: N. Balakrishnan, William R. Schucany, Paul R. Garvey

New and Published Books

11-20 of 108 results in Statistics: A Series of Textbooks and Monographs
  1. Randomization Tests, Fourth Edition

    By Eugene Edgington, Eugene Edgington, Patrick Onghena

    Series: Statistics: A Series of Textbooks and Monographs

    The number of innovative applications of randomization tests in various fields and recent developments in experimental design, significance testing, computing facilities, and randomization test algorithms have necessitated a new edition of Randomization Tests. Updated, reorganized, and revised,...

    Published February 22nd 2007 by Chapman and Hall/CRC

  2. Univariate and Multivariate General Linear Models

    Theory and Applications with SAS, Second Edition

    By Kevin Kim, Neil Timm

    Series: Statistics: A Series of Textbooks and Monographs

    Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory and Applications with SAS, Second Edition presents analyses of simple and complex models, both univariate and multivariate, that employ data sets from a...

    Published October 11th 2006 by Chapman and Hall/CRC

  3. A Course on Queueing Models

    By Joti Lal Jain, Sri Gopal Mohanty, Walter Böhm

    Series: Statistics: A Series of Textbooks and Monographs

    The application of engineering principles in divergent fields such as management science and communications as well as the advancement of several approaches in theory and computation have led to growing interest in queueing models, creating the need for a comprehensive text. Emphasizing Markovian...

    Published July 20th 2006 by Chapman and Hall/CRC

  4. Handbook of Statistical Distributions with Applications

    By Kalimuthu Krishnamoorthy

    Series: Statistics: A Series of Textbooks and Monographs

    In the area of applied statistics, scientists use statistical distributions to model a wide range of practical problems, from modeling the size grade distribution of onions to modeling global positioning data. To apply these probability models successfully, practitioners and researchers must have a...

    Published June 19th 2006 by Chapman and Hall/CRC

  5. Introductory Statistical Inference

    By Nitis Mukhopadhyay

    Series: Statistics: A Series of Textbooks and Monographs

    This gracefully organized text reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, figures, tables, and computer simulations to develop and illustrate concepts. Drills and boxed summaries emphasize and reinforce...

    Published February 7th 2006 by Chapman and Hall/CRC

  6. Handbook of Parallel Computing and Statistics

    Edited by Erricos John Kontoghiorghes

    Series: Statistics: A Series of Textbooks and Monographs

    Technological improvements continue to push back the frontier of processor speed in modern computers. Unfortunately, the computational intensity demanded by modern research problems grows even faster. Parallel computing has emerged as the most successful bridge to this computational gap, and many...

    Published December 21st 2005 by Chapman and Hall/CRC

  7. A Kalman Filter Primer

    By Randall L. Eubank

    Series: Statistics: A Series of Textbooks and Monographs

    System state estimation in the presence of noise is critical for control systems, signal processing, and many other applications in a variety of fields. Developed decades ago, the Kalman filter remains an important, powerful tool for estimating the variables in a system in the presence of noise....

    Published November 29th 2005 by Chapman and Hall/CRC

  8. Statistical Inference Based on Divergence Measures

    By Leandro Pardo

    Series: Statistics: A Series of Textbooks and Monographs

    The idea of using functionals of Information Theory, such as entropies or divergences, in statistical inference is not new. However, in spite of the fact that divergence statistics have become a very good alternative to the classical likelihood ratio test and the Pearson-type statistic in discrete...

    Published October 10th 2005 by Chapman and Hall/CRC

  9. Advances on Models, Characterizations and Applications

    Edited by N. Balakrishnan, I. G. Bairamov, O. L. Gebizlioglu

    Series: Statistics: A Series of Textbooks and Monographs

    Statistical distributions are one of the most important applied mathematical tools across a wide spectrum of disciplines, including engineering, biological sciences, and health and social sciences. Since they are used to model observed data and ultimately to develop inferential procedures,...

    Published May 31st 2005 by Chapman and Hall/CRC

  10. Mathematical Statistics With Applications

    By Asha Seth Kapadia, Wenyaw Chan, Lemuel A. Moyé

    Series: Statistics: A Series of Textbooks and Monographs

    Mathematical statistics typically represents one of the most difficult challenges in statistics, particularly for those with more applied, rather than mathematical, interests and backgrounds. Most textbooks on the subject provide little or no review of the advanced calculus topics upon which much...

    Published April 20th 2005 by CRC Press

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