Effective Software Testing explores fifty critically important best practices, pitfalls, and solutions. Gleaned from the author's extensive practical experience, these concrete items will enable quality assurance professionals and test managers to immediately enhance their understanding and skills, avoid costly...

Now anyone who has mastered basic statistics can easily take the next step up. In Advanced Statistics Demystified, experienced statistics instructor Larry J. Stephens provides an effective, anxiety-soothing, and totally painless way to learn advanced statistics --...

"Successful connects logistic regression and linear discriminant analysis, thus making it critical reference and self-study guide for students and professionals alike in the...

Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the engineering problem-solving process.  All major aspects of engineering statistics are covered, including descriptive statistics, probability and probability distributions, statistical test and...

Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to...

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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...

Covariance and correlation matrices play fundamental roles in every aspect of the analysis of multivariate data collected from a variety of fields including business and economics, health care, engineering, and environmental and physical sciences....

Incorporating a new focus on data visualization and time series forecasting, Data Mining for Business Intelligence, Second Edition continues to supply insightful, detailed guidance on fundamental data mining techniques. This new edition guides readers through the use of the Microsoft Office Excel add-in XLMiner for developing...

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical...