Statistics: A Series of Textbooks and Monographs

New and Published Books

11-20 of 114 results in Statistics: A Series of Textbooks and Monographs

11. Design and Analysis of Experiments

    Classical and Regression Approaches with SAS

    By Leonard C. Onyiah

    Series: Statistics: A Series of Textbooks and Monographs

    Unlike other books on the modeling and analysis of experimental data, Design and Analysis of Experiments: Classical and Regression Approaches with SAS not only covers classical experimental design theory, it also explores regression approaches. Capitalizing on the availability of cutting-edge...

    Published July 28th 2008 by Chapman and Hall/CRC
12. Confidence Intervals in Generalized Regression Models

    By Esa Uusipaikka

    Series: Statistics: A Series of Textbooks and Monographs

    A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation—the generalized regression model (GRM)—of various types of regression models. It also uses a likelihood-based approach for performing statistical inference from...

    Published July 24th 2008 by Chapman and Hall/CRC
13. 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 21st 2007 by Chapman and Hall/CRC
14. 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 10th 2006 by Chapman and Hall/CRC
15. 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 19th 2006 by Chapman and Hall/CRC
16. Handbook of Statistical Distributions with Applications

    By K. 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 18th 2006 by Chapman and Hall/CRC
17. 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 6th 2006 by Chapman and Hall/CRC
18. 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 20th 2005 by Chapman and Hall/CRC
19. 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 28th 2005 by Chapman and Hall/CRC
20. 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 9th 2005 by Chapman and Hall/CRC