This text was designed for a one-semester course that covers the essential topics
needed for a fundamental understanding of basic statistics and its applications in
the fields of...
Many have heard that six sigma methods are necessary to survive, let alone thrive, in today’s competitive markets, but are not really sure what the methods are or how or when to use them.
Introduction to Engineering Statistics and Six Sigma contains precise descriptions of all of the many related methods and details...
R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum usefulness. The use of...
John Bird's approach to mathematics, based on numerous worked examples supported by problems, is ideal for students of a wide range of abilities. Theory is kept to a minimum, with the emphasis firmly placed on problem-solving skills, making this a thoroughly practical introduction to the mathematics engineering students need to...
Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets. The basic principle is that local averaging or smoothing is performed with respect to a kernel function.
This book provides uninitiated readers with a feeling for the principles, applications, and analysis of kernel smoothers....
VMware ThinApp 4.7 is an application virtualization and portable application creator which allows users to package conventional applications so that they are portable.
"VMware ThinApp 4.7 Essentials" shows you how to deploy ThinApp packages in order to improve the portability, manageability and compatibility of...
Bayesian methods are being used more often than ever before in biology and
medicine. For example, at the University of Texas MD Anderson Cancer
Center, Bayesian sequential stopping rules routinely are used for the design
of clinical trials. This book is based on the author’s experience working with
a variety of...
This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection....
This new edition of a successful, bestselling book continues to provide you with practical information on the use of statistical methods for solving real-world problems in complex industrial environments. Complete with examples from the chemical and pharmaceutical laboratory and manufacturing areas, this thoroughly updated book clearly...
There are already many computer vision textbooks, and it is reasonable to question the need for another. Let me explain why I chose to write this volume.
Computer vision is an engineering discipline; we are primarily motivated by the real-world concern of...
Why is astronomy considered a science while astrology is considered only a pseudoscience?
In other words, how can we prove that a theory faithfully describes reality,
and that this theory can then be used to predict unknown facts? Karl Popper, the
well-known philosopher, studied these problems and summarized his conclusions in
one...
Data Mining techniques are gradually becoming essential components of corporate intelligence systems and progressively evolving into a pervasive technology within activities that range from the utilization of historical data to predicting the success of an awareness campaign. In reality, data mining is becoming an interdisciplinary field driven by...
