Statistics

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Exploratory Multivariate Analysis by Example Using R, Second Edition

Francois Husson, Sebastien Le, Jérôme Pagès
April 25, 2017

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when...

Equivalence: Elizabeth L. Scott at Berkeley

Amanda L. Golbeck
April 19, 2017

Equivalence: Elizabeth L. Scott at Berkeley is the compelling story of one pioneering statistician’s relentless twenty-year effort to promote the status of women in academe and science. Part biography and part microhistory, the book provides the context and background to understand Scott’s...

Errors, Blunders, and Lies: How to Tell the Difference

David Salsburg
April 19, 2017

We live in a world that is not quite "right." The central tenet of statistical inquiry is that Observation = Truth + Error because even the most careful of scientific investigations have always been bedeviled by uncertainty. Our attempts to measure things are plagued with small errors. Our attempts...

Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics

Fionn Murtagh
April 12, 2017

"Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of…quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methods…a very useful text and I would certainly use it in...

An Introduction to Excel VBA Programming: with Applications in Finance and Insurance

Guojun Gan
April 07, 2017

Excel Visual Basic for Applications (VBA) can be used to automate operations in Excel and is one of the most frequently used software programs for manipulating data and building models in banks and insurance companies. An Introduction to Excel VBA Programming: with Applications in Finance and...

Scale in Spatial Information and Analysis

Jingxiong Zhang, Peter Atkinson, Michael F. Goodchild
April 06, 2017

Now ubiquitous in modern life, spatial data present great opportunities to transform many of the processes on which we base our everyday lives. However, not only do these data depend on the scale of measurement, but also handling these data (e.g., to make suitable maps) requires that we account for...

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...

Quality Management for Organizations Using Lean Six Sigma Techniques

Erick Jones
March 31, 2017

The next step in the evolution of the organizational quality field, Lean Six Sigma (LSS) has come of age. However, many challenges to using LSS in lieu of, in conjunction with, or integrated with other quality initiatives remain. An update on the current focus of quality management, Quality...

R for Programmers: Advanced Techniques

Dan Zhang
March 30, 2017

This book discusses advanced topics such as R core programing, object oriented R programing, parallel computing with R, and spatial data types. The author leads readers to merge mature and effective methdologies in traditional programing to R programing. It shows how to...

Analysis of Queues: Methods and Applications

Natarajan Gautam
March 29, 2017

Written with students and professors in mind, Analysis of Queues: Methods and Applications combines coverage of classical queueing theory with recent advances in studying stochastic networks. Exploring a broad range of applications, the book contains plenty of solved problems, exercises, case...

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...

Reliability Models for Engineers and Scientists

Mark P. Kaminskiy
March 29, 2017

A discussion of the basic reliability concepts and models, Reliability Models for Engineers and Scientists demystifies modern mathematical reliability models. Requiring very little mathematical background on the reader’s part, this concise book introduces the models by focusing on their physical...

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