Найти книгу: "Mixed Emotions"

* Includes five previously unpublished essays * Powerful prose sparked with Child's unique wit Well-known for his Himalayan expeditions and first ascents on rock walls in Australia and the United States, Greg Child freely admits his mixed feelings about climbing. Overwhelming are the loss of friends, the thrill of achievement, and the soul-shattering moments of risk and survival; but it is precisely these experiences that compel him to write and to continue climbing. In Mixed Emotions, Child remembers the mountains, the people, and the episodes that have made him feel his life acutely, including the 1986 K2 tragedy that killed 13 climbers; a near-fatal snakebite in his native Australia; and the loss of climbing partner Pete Thexton. He recalls his associations with world-renowned mountaineers Doug Scott, John Roskelley, Voytek Kurtyka, and Don Whillans. Child also narrates fascinating off-mountain journeys to a secluded Hindu shrine, and the remote, harsh landscape of the Baltoro Glacier, where progress has left its indelible mark. Finally, Child comments on some less tangible aspects of climbing, such as the ghostly presence that accompanies climbers under duress, and the meanings of and inevitable meetings with death.

Deep insight and candid discussion from one of Wall Street's best investors Common Stocks and Common Sense provides detailed insight into common stock investing, using a case-study approach based on real-world investments. Author Edgar Wachenheim is the 28-year CEO of Greenhaven Associates, boasting an average annual portfolio comparable to Warren Buffet's. In this book, he shares his knowledge and experiences by providing detailed analyses of actual investments made by himself and other investors. The discussion covers the entire investment process, including the softer, human side, with candid insight into the joys and frustrations, intensities and pressures, and risks and uncertainties. The unique emphasis on behavioral economics and real-world cases set this book apart from the herd—but it's Wachenheim himself and his deeply-examined perspective that elevates the book beyond a mere investing guide. Between 1990 and 2014, a typical portfolio managed by Wachenheim enjoyed an average annual return in excess of 18%, achieved using relatively conservative stocks and no financial leverage. As a proponent of evidence and example, his analysis of real cases serve as a valuable education for anyone looking to improve their own investment practices. Understand investment through the lens of a Wall Street leader Dig into the details of real-world common stock investing Learn how to invest creatively and minimize risk Go beyond theory to study strategy on a case-by-case basis Investment principles and strategies are easy to find—entire libraries have been written about theories and methods and what 'should' happen. But this book goes beyond the typical guide to show you how these ideas are applied in the real world—and what actually happened. Investors seeking real insight, real expertise, and a proven track record will find Common Stocks and Common Sense a uniquely useful resource.

In LIVING LIKE YOU MEAN IT, author Ronald J. Frederick, does a brilliant job of describing why people are so afraid of their emotions and how this fear creates a variety of problems in their lives. While the problems are different, the underlying issue is often the same. At the core of their distress is what Dr. Frederick refers to as feelings phobia. Whether it s the experience of love, joy, anger, sadness, or surprise, our inborn ability to be a fully feeling person has been hijacked by fear–and it s fear that s keeping us from a better life. The book begins with a questionnaire-style list that help readers take an honest look at themselves and recognize whether and how they are afraid of their feelings. It then moves on to explore the origins of fear of feeling and introduces a four-part program for overcoming the fear: (1) Become aware of and learn to recognize feelings–anger, sadness, joy, love, fear, guilt/shame, surprise, disgust. (2) Master techniques for taming the fear. (3) Let the feeling work its way all the way through to its resolution. (4) Open up and put those feelings into words and communicate them confidently. With wisdom, humor, and compassion, the book uses stories and examples to help readers see that overcoming feelings phobia is the key to a better life and more fulfilling relationships.

Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. It is based on the recognition of random-effect terms in statistical models, leading to inferences and estimates that have much wider applicability and are more realistic than those otherwise obtained. Introduction to Mixed Modelling leads the reader into mixed modelling as a natural extension of two more familiar methods, regression analysis and analysis of variance. It provides practical guidance combined with a clear explanation of the underlying concepts. Like the first edition, this new edition shows diverse applications of mixed models, provides guidance on the identification of random-effect terms, and explains how to obtain and interpret best linear unbiased predictors (BLUPs). It also introduces several important new topics, including the following: Use of the software SAS, in addition to GenStat and R. Meta-analysis and the multiple testing problem. The Bayesian interpretation of mixed models. Including numerous practical exercises with solutions, this book provides an ideal introduction to mixed modelling for final year undergraduate students, postgraduate students and professional researchers. It will appeal to readers from a wide range of scientific disciplines including statistics, biology, bioinformatics, medicine, agriculture, engineering, economics, archaeology and geography. Praise for the first edition: “One of the main strengths of the text is the bridge it provides between traditional analysis of variance and regression models and the more recently developed class of mixed models…Each chapter is well-motivated by at least one carefully chosen example…demonstrating the broad applicability of mixed models in many different disciplines…most readers will likely learn something new, and those previously unfamiliar with mixed models will obtain a solid foundation on this topic.”—Kerrie Nelson University of South Carolina, in American Statistician, 2007