Statistics

Statistics for Engineering and Physical Science

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Statistics in Engineering: With Examples in MATLAB® and R, Second Edition

2nd Edition

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Andrew Metcalfe, David Green, Tony Greenfield, Mayhayaudin Mansor, Andrew Smith, Jonathan Tuke
January 29, 2019

Engineers are expected to design structures and machines that can operate in challenging and volatile environments, while allowing for variation in materials and noise in measurements and signals. Statistics in Engineering, Second Edition: With Examples in MATLAB and R covers the fundamentals of pro...

Statistical Methods for Materials Science: The Data Science of Microstructure Characterization

1st Edition

Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman, Marc De Graef
February 06, 2019

Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure...

Research Methodology: A Practical and Scientific Approach

1st Edition

Vinayak Bairagi, Mousami V. Munot
February 04, 2019

This book offers a design research methodology intended to improve the quality of design research- its academic credibility, industrial significance and societal contribution by enabling more thorough, efficient and effective procedures....

Essentials of Statistics in Agriculture Sciences

1st Edition

Pradeep Mishra, Fozia Homa
February 01, 2019

This book, Essentials of Statistics in Agriculture Sciences, is an introductory text presenting some of the basic concepts of statistical tools, specifically as applied to the statistics of agriculture and allied fields. An understanding of the basics, logic, and theory of statistics is very...

Statistics in Engineering: With Examples in MATLAB® and R, Second Edition

2nd Edition

Andrew Metcalfe, David Green, Tony Greenfield, Mayhayaudin Mansor, Andrew Smith, Jonathan Tuke
January 29, 2019

Engineers are expected to design structures and machines that can operate in challenging and volatile environments, while allowing for variation in materials and noise in measurements and signals. Statistics in Engineering, Second Edition: With Examples in MATLAB and R covers the fundamentals of...

Sensory Evaluation of Sound

1st Edition

Nick Zacharov
December 27, 2018

Sensory Evaluation of Sound provides a detailed review of the latest sensory evaluation techniques, specifically applied to the evaluation of sound and audio. This three-part book commences with an introduction to the fundamental role of sound and hearing, which is followed by an overview of...

Design of Experiments for Generalized Linear Models

1st Edition

Kenneth G. Russell
December 26, 2018

Generalized Linear Models (GLMs) allow many statistical analyses to be extended to important statistical distributions other than the Normal distribution. While numerous books exist on how to analyse data using a GLM, little information is available on how to collect the data that are to be...

Displaying Time Series, Spatial, and Space-Time Data with R

2nd Edition

Oscar Perpinan Lamigueiro
August 14, 2018

Focusing on the exploration of data with visual methods, Displaying Time Series, Spatial, and Space-Time Data with R, Second Edition, presents methods and R code for producing high-quality static graphics, interactive visualizations, and animations of time series, spatial, and space-time data....

Multivariate Kernel Smoothing and Its Applications

1st Edition

José E. Chacón, Tarn Duong
May 08, 2018

Kernel smoothing has greatly evolved since its inception to become an essential methodology in the data science tool kit for the 21st century. Its widespread adoption is due to its fundamental role for multivariate exploratory data analysis, as well as the crucial role it plays in composite...

Missing and Modified Data in Nonparametric Estimation: With R Examples

1st Edition

Sam Efromovich
March 12, 2018

This book presents a systematic and unified approach for modern nonparametric treatment of missing and modified data via examples of density and hazard rate estimation, nonparametric regression, filtering signals, and time series analysis. All basic types of missing at random and not at random,...

Theory of Stochastic Objects: Probability, Stochastic Processes and Inference

1st Edition

Athanasios Christou Micheas
January 24, 2018

This book defines and investigates the concept of a random object. To accomplish this task in a natural way, it brings together three major areas; statistical inference, measure-theoretic probability theory and stochastic processes. This point of view has not been explored by existing textbooks;...

Process Capability Analysis: Estimating Quality

1st Edition

Neil W. Polhemus
December 07, 2017

Process Capability Analysis: Estimating Quality presents a systematic exploration of process capability analysis and how it may be used to estimate quality. The book is designed for practitioners who are tasked with insuring a high level of quality for the products and services offered by their...

Statistics for Engineering and the Sciences, Sixth Edition, Textbook and Student Solutions Manual

1st Edition

William M. Mendenhall, Terry L. Sincich
November 28, 2017

This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences. Inevitably, once these students graduate and are employed, they will be involved in the collection and analysis of data and will be required to think...

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