NOW AT YOUR FINGERTIPS: Every performance test for completing a home energy audit. If you're a professional in today's fast-evolving industry of high performance construction and retrofits, then you've probably found yourself wondering a few things: Who can show me how to run that test? How do I get the most out of the equipment I own? Why do the tests work, and how do I explain them? What quality control methods should I use? Which tools will make my job faster and easier? With this guide, experienced and new diagnosticians alike will get step-by-step details on advanced testing, complete with best practices, important concepts and pitfalls, ways to present data to the client, Step-By-Step photographs, and time-saving tips, plus quiz questions for each diagnostic!

This is the digital version of the printed book (Copyright © 1996). Based on an award-winning doctoral thesis at Carnegie Mellon University, Measuring and Managing Performance in Organizations presents a captivating analysis of the perils of performance measurement systems. In the book’s foreword, Peopleware authors Tom DeMarco and Timothy Lister rave, “We believe this is a book that needs to be on the desk of just about anyone who manages anything.” Because people often react with unanticipated sophistication when they are being measured, measurement-based management systems can become dysfunctional, interfering with achievement of intended results. Fortunately, as the author shows, measurement dysfunction follows a pattern that can be identified and avoided. The author’s findings are bolstered by interviews with eight recognized experts in the use of measurement to manage computer software development: David N. Card, of Software Productivity Solutions; Tom DeMarco, of the Atlantic Systems Guild; Capers Jones, of Software Productivity Research; John Musa, of AT&T Bell Laboratories; Daniel J. Paulish, of Siemens Corporate Research; Lawrence H. Putnam, of Quantitative Software Management; E. O. Tilford, Sr., of Fissure; plus the anonymous Expert X. A practical model for analyzing measurement projects solidifies the text–don’t start without it!

This book constitutes the proceedings of the 17th International Conference on Passive and Active Measurement, PAM 2016, held in Heraklion, Crete, Greece, in March/April 2016. The 30 full papers presented in this volume were carefully reviewed and selected from 93 submissions. They are organized in topical sections named: security and privacy; mobile and cellular; the last mile; testbeds and frameworks; web; DNS and routing; IXPs and MPLS; and scheduling and timing.

This book constitutes the refereed proceedings of the 16th International Conference on Passive and Active Measurement, PAM 2015, held in New York, NY, USA, in March 2015. The 27 full papers presented were carefully reviewed and selected from 100 submissions. The papers have been organized in the following topical sections: DNS and Routing, Mobile and Cellular, IPv6, Internet-Wide, Web and Peer-to-Peer, Wireless and Embedded, and Software Defined Networking.

One of the greatest changes in the sports world in the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, Second Edition provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. The book gives you all the tools necessary to answer key questions in sports analysis. It explains how to apply the methods to sports data and interpret the results, demonstrating that the analysis of sports data is often different from standard statistical analyses. The book integrates a large number of motivating sports examples throughout and offers guidance on computation and suggestions for further reading in each chapter. Features Covers numerous statistical procedures for analyzing data based on sports results Presents fundamental methods for describing and summarizing data Describes aspects of probability theory and basic statistical concepts that are necessary to understand and deal with the randomness inherent in sports data Explains the statistical reasoning underlying the methods Illustrates the methods using real data drawn from a wide variety of sports Offers many of the datasets on the author’s website, enabling you to replicate the analyses or conduct related analyses New to the Second Edition R code included for all calculations A new chapter discussing several more advanced methods, such as binary response models, random effects, multilevel models, spline methods, and principal components analysis, and more Exercises added to the end of each chapter, to enable use for courses and self-study