Statistics

Statistics for Engineering and Physical Science

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Monte Carlo Methods for Particle Transport

1st Edition

Alireza Haghighat
November 24, 2014

The Monte Carlo method has become the de facto standard in radiation transport. Although powerful, if not understood and used appropriately, the method can give misleading results. Monte Carlo Methods for Particle Transport teaches appropriate use of the Monte Carlo method, explaining the method’s...

Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB®

1st Edition

Alexander D. Poularikas
September 26, 2014

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...

Sequential Analysis: Hypothesis Testing and Changepoint Detection

1st Edition

Alexander Tartakovsky, Igor Nikiforov, Michele Basseville
August 27, 2014

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...

Bayesian Networks: With Examples in R

1st Edition

Marco Scutari, Jean-Baptiste Denis
June 20, 2014

Understand the Foundations of Bayesian Networks—Core Properties and Definitions Explained Bayesian Networks: With Examples in R introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples in R illustrate each step of the modeling process. The examples start from the...

Using R for Numerical Analysis in Science and Engineering

1st Edition

Victor A. Bloomfield
April 24, 2014

Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical...

Risk Analysis in Engineering and Economics

2nd Edition

Bilal M. Ayyub
March 18, 2014

Risk Analysis in Engineering and Economics is required reading for decision making under conditions of uncertainty. The author describes the fundamental concepts, techniques, and applications of the subject in a style tailored to meet the needs of students and practitioners of engineering, science,...

Probability and Statistics: A Didactic Introduction

1st Edition

José I. Barragués, Adolfo Morais, Jenaro Guisasola
February 06, 2014

With contributions by leaders in the field, this book provides a comprehensive introduction to the foundations of probability and statistics. Each of the chapters covers a major topic and offers an intuitive view of the subject matter, methodologies, concepts, terms, and related applications. The...

Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists

1st Edition

Francisco J. Samaniego
January 14, 2014

Provides a Solid Foundation for Statistical Modeling and Inference and Demonstrates Its Breadth of Applicability Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists addresses core issues in post-calculus probability and statistics in a way that is...

Nonlinear Time Series: Theory, Methods and Applications with R Examples

1st Edition

Randal Douc, Eric Moulines, David Stoffer
January 06, 2014

Designed for researchers and students, Nonlinear Times Series: Theory, Methods and Applications with R Examples familiarizes readers with the principles behind nonlinear time series models—without overwhelming them with difficult mathematical developments. By focusing on basic principles and theory...

Constrained Principal Component Analysis and Related Techniques

1st Edition

Yoshio Takane
October 24, 2013

In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial...

Probabilistic Models for Dynamical Systems

2nd Edition

Haym Benaroya, Seon Mi Han, Mark Nagurka
May 02, 2013

Now in its second edition, Probabilistic Models for Dynamical Systems expands on the subject of probability theory. Written as an extension to its predecessor, this revised version introduces students to the randomness in variables and time dependent functions, and allows them to solve governing...

Advanced Risk Analysis in Engineering Enterprise Systems

1st Edition

Cesar Ariel Pinto, Paul R. Garvey
October 08, 2012

Since the emerging discipline of engineering enterprise systems extends traditional systems engineering to develop webs of systems and systems-of-systems, the engineering management and management science communities need new approaches for analyzing and managing risk in engineering enterprise...

Conferences

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