Statistics

Statistical Theory & Methods

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

2nd Edition

Featured

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...

Model-based Geostatistics for Global Public Health: Methods and Applications

1st Edition

Peter J. Diggle, Emanuele Giorgi
March 11, 2019

Model-based Geostatistics for Global Public Health: Methods and Applications provides an introductory account of model-based geostatistics, its implementation in open-source software and its application in public health research. In the public health problems that are the focus of this book, the...

Theory of Spatial Statistics: A Concise Introduction

1st Edition

M.N.M. van Lieshout
March 11, 2019

Spatial data are collected in various ways, for example, weather maps, soil samples, incident patterns, microscopical slices, satellite, radar, or X-ray images. The statistical analysis of spatial data is treated as a separate topic, as it is different from classical statistical data in a number of...

Statistical Computing with R, Second Edition

2nd Edition

Maria L. Rizzo
March 06, 2019

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. This second edition continues to encompass the traditional...

Combinatorial Inference in Geometric Data Analysis

1st Edition

Brigitte Le Roux, Solène Bienaise, Jean-Luc Durand
February 22, 2019

Geometric Data Analysis designates the approach of Multivariate Statistics that conceptualizes the set of observations as a Euclidean cloud of points. Combinatorial Inference in Geometric Data Analysis gives an overview of multidimensional statistical inference methods applicable to clouds of...

Introduction to Probability, Second Edition

2nd Edition

Joseph K. Blitzstein, Jessica Hwang
February 08, 2019

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google...

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....

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...

Theory of Sampling and Sampling Practice, Third Edition

3rd Edition

Francis F. Pitard
January 21, 2019

A step-by-step guide for anyone challenged by the many subtleties of sampling particulate materials. The only comprehensive document merging the famous works of P. Gy, I. Visman, and C.O. Ingamells into a single theory in a logical way - the most advanced book on sampling that can be used by...

Data Science with Julia

1st Edition

Paul D. McNicholas, Peter Tait
January 11, 2019

"This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."- Professor Charles Bouveyron, INRIA Chair in Data Science, Université Côte d’Azur, Nice, France Julia, an open-source programming language, was created to...

Multivariate Analysis for the Behavioral Sciences, Second Edition

2nd Edition

Kimmo Vehkalahti, Brian S. Everitt
January 08, 2019

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly...

R Companion to Elementary Applied Statistics

1st Edition

Christopher Hay-Jahans
January 08, 2019

The R Companion to Elementary Applied Statistics includes traditional applications covered in elementary statistics courses as well as some additional methods that address questions that might arise during or after the application of commonly used methods. Beginning with basic tasks and...

Handbook of Mixture Analysis

1st Edition

Sylvia Fruhwirth-Schnatter, Gilles Celeux, Christian P. Robert
January 07, 2019

Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool. They can be applied to a wide range of data: univariate or multivariate, continuous or categorical, cross-sectional, time series, networks, and...

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