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Former Democratic congressman and pastor of one of America's largest, most prosperous churches, Floyd Flake inspires us to pull ourselves up by the bootstraps, turn obstacles into springboards, build stronger families and communities, and make our dreams come true.
Poignant, irreverent, and hilarious: a memoir about survival and self-discovery, by an indomitable woman who never loses sight of what matters most. It’s the summer of 2005, and Mardi Jo Link’s dream of living the simple life has unraveled into debt, heartbreak, and perpetually ragged cuticles. She and her husband of nineteen years have just called it quits, leaving her with serious cash-flow problems and a looming divorce. More broke than ever, Link makes a seemingly impossible resolution: to hang on to her century-old farmhouse in northern Michigan and continue to raise her three boys on well water and wood chopping and dirt. Armed with an unfailing sense of humor and three resolute accomplices, Link confronts blizzards and foxes, learns about Zen divorce and the best way to butcher a hog, dominates a zucchini-growing contest and wins a year’s supply of local bread, masters the art of bargain cooking, wrangles rampaging poultry, and withstands any blow to her pride in order to preserve the life she wants. With an infectious optimism that would put Rebecca of Sunnybrook Farm to shame and a deep appreciation of the natural world, Link tells the story of how, over the course of one long year, she holds on to her sons, saves the farm from foreclosure, and finds her way back to a life of richness and meaning on the land she loves. This ebook edition includes a Reading Group Guide.
Disk contains the library functions and documentation for use with Splus for Windows.
The real-life Nickel and Dimed—the author of the wildly popular “Poverty Thoughts” essay tells what it’s like to be working poor in America. ONE OF THE FIVE MOST IMPORTANT BOOKS OF THE YEAR--Esquire “DEVASTATINGLY SMART AND FUNNY. I am the author of Nickel and Dimed, which tells the story of my own brief attempt, as a semi-undercover journalist, to survive on low-wage retail and service jobs. TIRADO IS THE REAL THING.”—Barbara Ehrenreich, from the Foreword As the haves and have-nots grow more separate and unequal in America, the working poor don’t get heard from much. Now they have a voice—and it’s forthright, funny, and just a little bit furious. Here, Linda Tirado tells what it’s like, day after day, to work, eat, shop, raise kids, and keep a roof over your head without enough money. She also answers questions often asked about those who live on or near minimum wage: Why don’t they get better jobs? Why don’t they make better choices? Why do they smoke cigarettes and have ugly lawns? Why don’t they borrow from their parents? Enlightening and entertaining, Hand to Mouth opens up a new and much-needed dialogue between the people who just don’t have it and the people who just don’t get it.
A practical and accessible introduction to the bootstrap method——newly revised and updated Over the past decade, the application of bootstrap methods to new areas of study has expanded, resulting in theoretical and applied advances across various fields. Bootstrap Methods, Second Edition is a highly approachable guide to the multidisciplinary, real-world uses of bootstrapping and is ideal for readers who have a professional interest in its methods, but are without an advanced background in mathematics. Updated to reflect current techniques and the most up-to-date work on the topic, the Second Edition features: The addition of a second, extended bibliography devoted solely to publications from 1999–2007, which is a valuable collection of references on the latest research in the field A discussion of the new areas of applicability for bootstrap methods, including use in the pharmaceutical industry for estimating individual and population bioequivalence in clinical trials A revised chapter on when and why bootstrap fails and remedies for overcoming these drawbacks Added coverage on regression, censored data applications, P-value adjustment, ratio estimators, and missing data New examples and illustrations as well as extensive historical notes at the end of each chapter With a strong focus on application, detailed explanations of methodology, and complete coverage of modern developments in the field, Bootstrap Methods, Second Edition is an indispensable reference for applied statisticians, engineers, scientists, clinicians, and other practitioners who regularly use statistical methods in research. It is also suitable as a supplementary text for courses in statistics and resampling methods at the upper-undergraduate and graduate levels.
This tells the story of Douglas Engelbart's revolutionary vision, reaching beyond conventional histories of Silicon Valley to probe the ideology that shaped some of the basic ingredients of contemporary life.
Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. This new edition of the bestselling Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates the value of a number of these methods with an emphasis on biological applications. This textbook focuses on three related areas in computational statistics: randomization, bootstrapping, and Monte Carlo methods of inference. The author emphasizes the sampling approach within randomization testing and confidence intervals. Similar to randomization, the book shows how bootstrapping, or resampling, can be used for confidence intervals and tests of significance. It also explores how to use Monte Carlo methods to test hypotheses and construct confidence intervals. New to the Third Edition Updated information on regression and time series analysis, multivariate methods, survival and growth data as well as software for computational statistics References that reflect recent developments in methodology and computing techniques Additional references on new applications of computer-intensive methods in biology Providing comprehensive coverage of computer-intensive applications while also offering data sets online, Randomization, Bootstrap and Monte Carlo Methods in Biology, Third Edition supplies a solid foundation for the ever-expanding field of statistics and quantitative analysis in biology.
A hands-on guide to using R to carry out key statistical practices in educational and behavioral sciences research Computing has become an essential part of the day-to-day practice of statistical work, broadening the types of questions that can now be addressed by research scientists applying newly derived data analytic techniques. Comparing Groups: Randomization and Bootstrap Methods Using R emphasizes the direct link between scientific research questions and data analysis. Rather than relying on mathematical calculations, this book focus on conceptual explanations and the use of statistical computing in an effort to guide readers through the integration of design, statistical methodology, and computation to answer specific research questions regarding group differences. Utilizing the widely-used, freely accessible R software, the authors introduce a modern approach to promote methods that provide a more complete understanding of statistical concepts. Following an introduction to R, each chapter is driven by a research question, and empirical data analysis is used to provide answers to that question. These examples are data-driven inquiries that promote interaction between statistical methods and ideas and computer application. Computer code and output are interwoven in the book to illustrate exactly how each analysis is carried out and how output is interpreted. Additional topical coverage includes: Data exploration of one variable and multivariate data Comparing two groups and many groups Permutation tests, randomization tests, and the independent samples t-Test Bootstrap tests and bootstrap intervals Interval estimates and effect sizes Throughout the book, the authors incorporate data from real-world research studies as well aschapter problems that provide a platform to perform data analyses. A related Web site features a complete collection of the book's datasets along with the accompanying codebooks and the R script files and commands, allowing readers to reproduce the presented output and plots. Comparing Groups: Randomization and Bootstrap Methods Using R is an excellent book for upper-undergraduate and graduate level courses on statistical methods, particularlyin the educational and behavioral sciences. The book also serves as a valuable resource for researchers who need a practical guide to modern data analytic and computational methods.
A bootstrapper himself, Godin offers "nine magic rules" and "ten commandments" along with other information to entrepreneurs interested in starting their own business. Includes many stories of successful enterprises, along with coverage of planning, financing, acting professional, and surviving on a personal basis. Annotation copyrighted by Book News, Inc., Portland, OR