Computational Statistics

PUBLISHED


Viewing: 1 - 10 of 139
Published:
April 10, 2013
Author(s):
Arthur Li
To write an accomplished program in the DATA step of SAS®, programmers must understand programming logic and know how to implement and even create their own programming algorithm. Handbook of SAS® DATA Step Programming shows readers how best to manage and manipulate data by using the DATA step. 
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Published:
April 01, 2013
Author(s):
Alan C. Acock
Discovering Structural Equation Modeling Using Stata is devoted to Stata’s sem command and all it can do. You’ll learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. The book 
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$79.95
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Published:
March 18, 2013
Author(s):
Andrew B. Lawson
Since the publication of the first edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in 
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$89.95
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Published:
January 02, 2013
Author(s):
Sean Becketti
Recent decades have witnessed explosive growth in new and powerful tools for timeseries analysis. These innovations have overturned older approaches to forecasting, macroeconomic policy analysis, the study of productivity and long-run economic growth, and the trading of financial assets. 
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Published:
December 10, 2012
Author(s):
James W. Hardin; Joseph M. Hilbe
Generalized Estimating Equations, Second Edition updates the best-selling previous edition, which has been the standard text on the subject since it was published a decade ago. Combining theory and application, the text provides readers with a comprehensive discussion of GEE and related models. 
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Published:
November 12, 2012
Author(s):
Gianluca Baio
Health economics is concerned with the study of the cost-effectiveness of health care interventions. This book provides an overview of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it presents Bayesian 
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$89.95
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Published:
October 29, 2012
Author(s):
Francesco Bartolucci; Alessio Farcomeni; Fulvia Pennoni
Drawing on the authors’ extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data focuses on the formulation of latent Markov models and the practical use of these models. Numerous examples illustrate how latent Markov models are used in 
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Published:
October 17, 2012
Author(s):
Boris Mirkin
Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Even the two most popular, and most related, clustering methods—K-Means for partitioning and Ward's method for hierarchical 
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$99.95
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Published:
October 09, 2012
Author(s):
Bradley S. Tice
This work addresses the notion of compression ratios greater than what has been known for random sequential strings in binary and larger radix-based systems as applied to those traditionally found in Kolmogorov complexity. A culmination of the author’s decade-long research that began with his 
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Published:
October 02, 2012
Author(s):
David Lunn; Chris Jackson; Nicky Best; Andrew Thomas; David Spiegelhalter
Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical 
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$49.95
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