Statistics

PUBLISHED


Viewing: 1 - 10 of 1027
Published:
September 17, 2014
Editor(s):
Winnie Daamen, Christine Buisson, Serge P. Hoogendoorn
A single source of information for researchers and professionals, Traffic Simulation and Data: Validation Methods and Applications offers a complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation. It derives from the Multitude 
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 26, 2014
Editor(s):
Arthur Charpentier
A Hands-On Approach to Understanding and Using Actuarial Models Computational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers 
Published:
August 22, 2014
Author(s):
S.J. Welham, S.A. Gezan, S.J. Clark, A. Mead
Written in simple language with relevant examples, this illustrative introductory book presents best practices in experimental design and simple data analysis. Taking a practical and intuitive approach, it only uses mathematical formulae to formalize the methods where necessary and appropriate. The 
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 

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