Per Page:

Nonparametric Statistical Tests: A Computational Approach

Markus Neuhauser
October 23, 2017

Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known methods such as the Baumgartner-Weiss-Schindler and the Cucconi tests. The book presents SAS and R programs, allowing readers to carry out the different statistical...

An R Companion to Linear Statistical Models

Christopher Hay-Jahans
October 18, 2017

Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based course on...

Stochastic Processes: An Introduction, Third Edition

Peter Watts Jones, Peter Smith
October 16, 2017

Based on a well-established and popular course taught by the authors over many years, Stochastic Processes: An Introduction, Third Edition, discusses the modelling and analysis of random experiments, where processes evolve over time. The text begins with a review of relevant fundamental probability...

The Social Effects of Global Trade

Joy Murray, Arunima Malik, Arne Geschke
October 16, 2017

The inclusion of qualitative social data into global environmental and economic input-output (IO) models remained illusive for many years. It was not until around 2013 that researchers found ways to include data, for example, on poverty, inequality, and worker safety, into IO models capable of...

High Performance Computing for Big Data: Methodologies and Applications

Chao Wang
October 10, 2017

High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive applications, novel efficient analytical strategies to boost data processing, and cutting-edge applications in diverse fields, such as machine learning, life...

Frontiers in Data Science

Matthias Dehmer, Frank Emmert-Streib
October 09, 2017

Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation...

Chemometric Monitoring: Product Quality Assessment, Process Fault Detection, and Applications

Madhusree Kundu, Palash Kumar Kundu, Seshu K. Damarla
October 03, 2017

Data collection, compression, storage, and interpretation have become mature technologies over the years. Extraction of meaningful information from the process historical database seems to be a natural and logical choice. In view of this, the proposed book aims to apply the data driven knowledge...

Simulation Methodology for Statisticians, Operations Analysts, and Engineers (1988)

P. W. A. Lewis, Ed McKenzie
October 02, 2017

Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical statistics and systems simulation. This discussion presents many of the necessary statistical and graphical techniques. A discussion of statistical methods based...

Reliability Engineering for Nuclear and Other High Technology Systems (1985): A practical guide

A.A. Lakner, R.T. Anderson
October 02, 2017

First Published in 2017. Routledge is an imprint of Taylor & Francis, an Informa company....

Large Sample Methods in Statistics (1994): An Introduction with Applications

Pranab K. Sen, Julio M. Singer
September 28, 2017

This text bridges the gap between sound theoretcial developments and practical, fruitful methodology by providing solid justification for standard symptotic statistical methods. It contains a unified survey of standard large sample theory and provides access to more complex statistical models that...

Understanding Statistics for the Social Sciences with IBM SPSS

Robert Ho
September 22, 2017

Modern statistical software provides the ability to compute statistics in a timely, orderly fashion. This introductory statistics textbook presents clear explanations of basic statistical concepts and introduces students to the IBM SPSS program to demonstrate how to conduct statistical analyses via...

Big Data Analytics in Cybersecurity

Onur Savas, Julia Deng
September 20, 2017

Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging...