Statistics

PUBLISHED


Viewing: 1 - 10 of 1031
Published:
September 26, 2014
Author(s):
Alexander D. Poularikas
Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® covers the core concepts of this important field, focusing on a vital part of the 
Published:
September 25, 2014
Author(s):
Hadley Wickham
An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the 
Published:
September 25, 2014
Author(s):
Kieron Dey
Competitive Innovation and Improvement: Statistical Design and Control explains how to combine two widely known statistical methods—statistical design and statistical control—in a manner that can solve any business, government, or research problem quickly with sustained results. Because the 
Published:
September 19, 2014
Author(s):
Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong
The State of the Art in Transcriptome AnalysisRNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine 
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 

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