Statistics & Computing Books

New and Published Books – Page 5

41. Smoothing Splines

    Methods and Applications

    By Yuedong Wang

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent years and has been widely used in many application areas, from medicine to economics. Smoothing Splines: Methods and Applications covers basic smoothing spline...

    Published June 21st 2011 by Chapman and Hall/CRC
42. R Graphics, Second Edition

    By Paul Murrell

    Series: Chapman & Hall/CRC The R Series

    Extensively updated to reflect the evolution of statistics and computing, the second edition of the bestselling R Graphics comes complete with new packages and new examples. Paul Murrell, widely known as the leading expert on R graphics, has developed an in-depth resource that helps both neophyte...

    Published June 1st 2011 by CRC Press
43. Optimal Experimental Design with R

    By Dieter Rasch, Jurgen Pilz, L.R. Verdooren, Albrecht Gebhardt

    Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary...

    Published May 17th 2011 by Chapman and Hall/CRC
44. Handbook of Markov Chain Monte Carlo

    Edited by Steve Brooks, Andrew Gelman, Galin Jones, Xiao-Li Meng

    Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

    Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an...

    Published May 9th 2011 by Chapman and Hall/CRC
45. Practical Statistical Methods

    A SAS Programming Approach

    By Lakshmi Padgett

    Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting mathematical details and...

    Published April 24th 2011 by CRC Press
46. Multivariate Generalized Linear Mixed Models Using R

    By Damon M. Berridge, Robert Crouchley

    Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data sets, enabling readers to answer increasingly complex research questions. The book applies the principles of modeling to longitudinal data from panel and...

    Published April 24th 2011 by CRC Press
47. Dose Finding by the Continual Reassessment Method

    By Ying Kuen Cheung

    Series: Chapman & Hall/CRC Biostatistics Series

    As clinicians begin to realize the important role of dose-finding in the drug development process, there is an increasing openness to "novel" methods proposed in the past two decades. In particular, the Continual Reassessment Method (CRM) and its variations have drawn much attention in the medical...

    Published March 28th 2011 by Chapman and Hall/CRC
48. Data Clustering in C++

    An Object-Oriented Approach

    By Guojun Gan

    Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

    Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different groups are quite distinct. Thousands of theoretical papers and a number of books on data clustering...

    Published March 27th 2011 by Chapman and Hall/CRC
49. Introduction to Statistical Limit Theory

    By Alan M. Polansky

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Helping students develop a good understanding of asymptotic theory, Introduction to Statistical Limit Theory provides a thorough yet accessible treatment of common modes of convergence and their related tools used in statistics. It also discusses how the results can be applied to several common...

    Published January 6th 2011 by Chapman and Hall/CRC
50. Robust Nonparametric Statistical Methods, Second Edition

    By Thomas P. Hettmansperger, Joseph W. McKean

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the...

    Published December 19th 2010 by CRC Press