Statistical Theory & Methods

PUBLISHED


Viewing: 1 - 10 of 389
Published:
October 09, 2014
Author(s):
John Kloke, Joseph W. McKean
A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear 
Published:
September 12, 2014
Author(s):
Sudipto Banerjee, Bradley P. Carlin, Alan E. Gelfand
Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling Since the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the size of its predecessor, Hierarchical Modeling 
Published:
September 10, 2014
Author(s):
J. Scott Long, Jeremy Freese
Regression Models for Categorical Dependent Variables Using Stata, Third Edition shows how to use Stata to fit and interpret regression models for categorical data. The third edition is a complete rewrite of the book. Factor variables and the margins command changed how the effects of variables can 
Published:
September 03, 2014
Author(s):
Helio S. Migon, Dani Gamerman, Francisco Louzada
A Balanced Treatment of Bayesian and Frequentist Inference Statistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical inference. Now with an additional author, this second edition places a more balanced emphasis on 
Published:
September 02, 2014
Author(s):
Gunter Ritter
Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory and applications 
Published:
August 27, 2014
Author(s):
Alexander Tartakovsky, Igor Nikiforov, Michele Basseville
Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and quickest changepoint detection. It also describes important applications in which theoretical results can be used efficiently. The book reviews recent 
Published:
August 20, 2014
Author(s):
Arijit Chaudhuri
Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a reliable guide in capturing inaccessible entities 
Published:
August 19, 2014
Author(s):
Robert O'Brien
Develop a Deep Understanding of the Statistical Issues of APC Analysis Age–Period–Cohort Models: Approaches and Analyses with Aggregate Data presents an introduction to the problems and strategies for modeling age, period, and cohort (APC) effects for aggregate-level data. These strategies include 
Published:
August 15, 2014
Author(s):
Geoff Der, Brian S. Everitt
Easily Use SAS to Produce Your Graphics Diagrams, plots, and other types of graphics are indispensable components in nearly all phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis of the chosen models once they 
Published:
August 11, 2014
Author(s):
Christopher R. Bilder, Thomas M. Loughin
Learn How to Properly Analyze Categorical DataAnalysis of Categorical Data with R presents a modern account of categorical data analysis using the popular R software. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses 

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