Statistics

Statistics for Engineering and Physical Science

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Random Signal Processing

Shaila Dinkar Apte
August 18, 2017

This book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral density and power spectral density. The properties of random processes and signal modelling are discussed with basic communication theory estimation and...

Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood, Second Edition

Youngjo Lee, John A. Nelder, Yudi Pawitan
August 04, 2017

This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical...

Exploratory Data Analysis with MATLAB, Third Edition

Wendy L. Martinez, Angel R. Martinez, Jeffrey Solka
July 27, 2017

Praise for the Second Edition:"The authors present an intuitive and easy-to-read book. … accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB."—Adolfo Alvarez Pinto, International Statistical Review "...

Uncertainty Analysis of Experimental Data with R

Benjamin David Shaw
July 11, 2017

"This would be an excellent book for undergraduate, graduate and beyond….The style of writing is easy to read and the author does a good job of adding humor in places. The integration of basic programming in R with the data that is collected for any experiment provides a powerful platform for...

Computational Methods for Numerical Analysis with R

James P Howard, II
June 08, 2017

Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide shows how common functions from linear algebra, interpolation, numerical integration, optimization, and differential equations can be implemented in pure R code....

Design of Experiments: An Introduction Based on Linear Models

Max Morris
May 31, 2017

Offering deep insight into the connections between design choice and the resulting statistical analysis, Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book presents an organized framework for...

Acceptance Sampling in Quality Control,Third Edition

Edward G. Schilling, Dean V. Neubauer
May 03, 2017

Acceptance Sampling in Quality Control, Third Edition presents the state of the art in the methodology of sampling while integrating both theory and best practices. It discusses various standards, including those from the ISO, MIL-STD and ASTM and explores how to set quality levels. The book also...

Statistics for Mining Engineering

Jacek M. Czaplicki
March 31, 2017

Many areas of mining engineering gather and use statistical information, provided by observing the actual operation of equipment, their systems, the development of mining works, surface subsidence that accompanies underground mining, displacement of rocks surrounding surface pits and underground...

Traffic Simulation and Data: Validation Methods and Applications

Winnie Daamen, Christine Buisson, Serge P. Hoogendoorn
March 29, 2017

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...

Applied Time Series Analysis with R, Second Edition

Wayne A. Woodward, Henry L. Gray, Alan C. Elliott
January 05, 2017

Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the cost of money, the jobless rate, and retail sales are just a few examples of many. Developed from course notes and extensively classroom-tested, Applied Time Series...

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

William M. Mendenhall, Terry L. Sincich
December 31, 2016

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...

Basic Experimental Strategies and Data Analysis for Science and Engineering

John Lawson, John Erjavec
December 15, 2016

Although books covering experimental design are often written for academic courses taken by statistics majors, most experiments performed in industry and academic research are designed and analyzed by non-statisticians. Therefore, a need exists for a desk reference that will be useful to...

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