Their hits, including Golden Brown, No More Heroes and Always The Sun, were written against a background of spectacular success, dismal failure, drug dependency, financial ruin, infighting and misfortune. Understandably, the band have been loath to reveal the true meaning behind their songs, instead revelling in the mystery and confusion they created. As a response to David Buckley's one-sided biography of the band (No Mercy, Hodder & Stoughton, 1997), Hugh Cornwell, founding member and songwriter, is determined to set the record straight, displace the myths and explain for the first time the real stories behind The Stranglers, his departure and the origins of all their songs.

    Highlights of the book include realistic problems and examples from a wide range of application areas. New to this edition are: much sharper pedagogy; an increase in the number of examples; more thorough development of the concepts; a greater range of homework problems; a greater number and variety of worked out examples; expanded coverage of dynamics modelling and Laplace transform topics; and integration of MATLAB, including many examples that are formatted in MATLAB.

    Instead, "Baseball Prospectus 2016" contains significant improvements along with the usual key stat categories, player predictions and insider-level commentary that readers expect from Baseball Prospectus annual guide."Baseball Prospectus 2016" once again provides fantasy players and insiders alike with prescient PECOTA projections, which "Sports Illustrated" has called perhaps the game s most accurate projection model. Still, stats are just numbers if you don t see the larger context, and Baseball Prospectus brings together an elite team of analysts to provide the definitive look at all thirty teams their players, their prospects and their managers to explain away flukes, hot streaks, injury-tainted numbers and park effects.Nearly every major-league team has sought the advice of current or former Prospectus analysts, and readers of "Baseball Prospectus" 2016 will understand what all those insiders have been raving about.In a book that sports personality Ken Tremendous calls The tip of the nerd spear, the team at Baseball Prospectus is proud to bring the following improvements to the 2016 Annual:Two full years of projections PECOTA lines for 2016 and 2017Historical Peak MPH added for major-league pitchersDeserved Run Average (DRA) added for major-league pitcherscFIP added for major-league and minor-league pitchersPitcher WARP redesigned, utilizing DRA and cFIP for all pitchersRevised cFIP-driven PECOTA pitching projectionsCatcher-specific defensive stats for all catchers Double-A and aboveOutfield assists and catcher defense integrated in FRAA and WARPBallpark schematic and wall height study for every stadiumHit List, finance, and farm system ranking graphs for each teamEvery organization s key front office personnel and Baseball Prospectus alumni identified"

    He shows that the scientists of ancient and medieval times not only did not understand what we understand about the world—they did not understand what there is to understand, or how to understand it. Yet over the centuries, through the struggle to solve such mysteries as the curious backward movement of the planets and the rise and fall of the tides, the modern discipline of science eventually emerged. Along the way, Weinberg examines historic clashes and collaborations between science and the competing spheres of religion, technology, poetry, mathematics, and philosophy.An illuminating exploration of the way we consider and analyze the world around us, To Explain the World is a sweeping, ambitious account of how difficult it was to discover the goals and methods of modern science, and the impact of this discovery on human knowledge and development.

    How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

    At first I tried to deny my condition (trying to treat a tumor with hot baths and ice packs). Eventually, I decided I would learn as much about my illness as possible while trying to keep my emotions on hold.What followed was an experience that finally forced me to deal with issues about my body that I had tried to ignore for decades. Along the way I dealt with a physician who gave me ridiculous advice and acquaintances who asked unbelievable questions. But I was also fortunate to be surrounded by people who supported me and doctors who helped me through the process.

    It is the definitive reference guide, now in a second edition. Although the first edition was written in 1978, it continues to be a worldwide best-seller. This second edition brings the classic original up to date to include the ANSI standard. From the Preface: We have tried to retain the brevity of the first edition. C is not a big language, and it is not well served by a big book. We have improved the exposition of critical features, such as pointers, that are central to C programming. We have refined the original examples, and have added new examples in several chapters. For instance, the treatment of complicated declarations is augmented by programs that convert declarations into words and vice versa. As before, all examples have been tested directly from the text, which is in machine-readable form. As we said in the first preface to the first edition, C "wears well as one's experience with it grows." With a decade more experience, we still feel that way. We hope that this book will help you to learn C and use it well.

    In this revision, the author takes a structured approach to explaining how networks function.

    

    Offering time-tested problems, conceptual and visual pedagogy, and a state-of-the-art media package, this 11th edition looks to the future of university physics, in terms of both content and approach.

    

    John was a still sleepy island, this updated version provides a respite from busy Cruz Bay. The guide offers an insiders view into the quintessential St. John with its hiking trails, scrambles and gut walks. Singer, a long time island resident, provides a framework for reference with lots of fast facts and an easy to read description of places of interest, flora and fauna, amidst a well laid backdrop of St. John s rich history and island legend. --Virgin Voice, December 2006 January 2007

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    It remains an elementary and non-mathematical introduction to molecular spectroscopy that emphasizes the overall unity of the subject and offers a pictorial perception rather than a mathematical description of the principles of spectroscopy.

    Simmons advocates a careful approach to the subject, covering such topics as the wave equation, Gauss's hypergeometric function, the gamma function and the basic problems of the calculus of variations in an explanatory fashions - ensuring that students fully understand and appreciate the topics.