Blending key theoretical and practical questions, Land argues that the predominant impulses which drive middle-class settler activists to support Indigenous people cannot lead to successful alliances and meaningful social change unless they are significantly transformed through a process of both public political action and critical self-reflection.Based on a wealth of in-depth, original research, and focussing in particular on Australia, where – despite strident challenges – the vestiges of British law and cultural power have restrained the nation's emergence out of colonizing dynamics, Decolonizing Solidarity provides a vital resource for those involved in Indigenous activism and scholarship.

    The book begins by introducing the R language, including the development environment. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with messy and incomplete data using features of R.About the TechnologyR is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data.About the BookR in Action is a language tutorial focused on practical problems. It presents useful statistics examples and includes elegant methods for handling messy, incomplete, and non-normal data that are difficult to analyze using traditional methods. And statistical analysis is only part of the story. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's InsidePractical data analysis, step by stepInterfacing R with other softwareUsing R to visualize dataOver 130 graphsEight reference appendixes================================Table of ContentsPart I Getting startedIntroduction to RCreating a datasetGetting started with graphsBasic data managementAdvanced data managementPart II Basic methodsBasic graphsBasic statisticsPart III Intermediate methodsRegressionAnalysis of variancePower analysisIntermediate graphsRe-sampling statistics and bootstrappingPart IV Advanced methodsGeneralized linear modelsPrincipal components and factor analysisAdvanced methods for missing dataAdvanced graphics

    Designed for graduate and advanced undergraduate students, it includes the contributions of leading thinkers, educators, and practitioners who provide an in-depth and objective appraisal of why and how we organize health care the way we do; the enormous impact of health-related behaviors on the structure, function, and cost of the health care delivery system; and other emerging and recurrent issues in health policy, health care management, and public health. To update this book with the rapid changes that have occurred in health care through November 2013, a separate chapter, the Affordable Care Act (ACA) Supplement, is available to students and instructors as a downloadable PDF.This text is divided into five sections, in order to provide some coherence to this broad terrain. Part I, The Current U.S. Health Care System, addresses major characteristics and issues, including reform, financing, and comparative health care systems. This section now includes multiple new charts and tables providing concrete health care data. Part II, Population Health, focuses on health behavior, including health care models, public health policy and practice, risk factors, facilitating healthy lifestyle practices, and access to care. Part III, Medical Care Delivery, addresses integrated health models, delivering high-quality health care, health care costs and value, and comparative effectiveness. Part IV, Support for Medical Care Delivery, concerns governance and management issues, including accountability, the health workforce, and information technology. Part V, The Future of Health Care Delivery in the United States, includes a new 5-year trend forecast.Key Features: Includes major provisions of the Patient Protection and Affordable Health Care Act of 2010Each chapter includes these special features: key concepts; extensive mapping resources; key words; learning objectives; discussion questions; and case studiesCovers the newest models of care, such as Accountable Care Organizations and Integrated Delivery SystemsExamines new ways of conceptualizing and assessing health care, including comparative effectiveness researchFeatures contributions by leading scholars and key figures within the U.S. health care system, including John Billings, JD; Carolyn M. Clancy, MD; C. Tracy Orleans, PhD; and Michael S. Sparer, PhD, JDContains new coverage of health reform, developing countries, population health, public health and catastrophic events, and a broadened discussion of the health care workforceAffordable Care Act (ACA) Supplement available to students and instructors as a downloadable PDF. Available to Instructors: Instructor's Guide (updated to reflect content from ACA supplement)PowerPoint PresentationsImage BankTest Bank (updated to reflect content from ACA supplement)"

    A revised edition of Lee Maracle's visionary book which links teaching of her First Nations heritage with feminism.

    Steiner Kvale examines the role of the interview in the research process, and then considers some of the key philosophical issues relating to interviewing, such as the interview as conversation, hermeneutics, phenomenology, ethics and postmodernism.

    In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect.Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems—rather than humans—control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor.In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile.The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values.This deeply researched and passionate book could not be more timely.Naomi Klein: "This book is downright scary."Ethan Zuckerman, MIT: "Should be required reading."Dorothy Roberts, author of Killing the Black Body: "A must-read for everyone concerned about modern tools of inequality in America."Astra Taylor, author of The People's Platform: "This is the single most important book about technology you will read this year."

    To reach this unique audience, Whitlock and Schluter motivate learning with interesting biological and medical examples; they emphasize intuitive understanding; and they focus on real data. The book covers basic topics in introductory statistics, including graphs, confidence intervals, hypothesis testing, comparison of means, regression, and designing experiments. It also introduces the principles behind such modern topics as likelihood, linear models, meta-analysis and computer-intensive methods. Instructors and students consistently praise the book's clear and engaging writing, strong visualization techniques, and its variety of fascinating and relevant biological examples.

    This guidebook is not meant to replace a Lonely Planet/Frommers/Rough Guide, but rather to compliment them. In NZ Frenzy you'll find info about all the South's must-see spots, plus detailed info about the lesser-known and unheralded off-the-beaten-path wonder spots. This guidebook goes WAY beyond the vague outdoor info in the mainstream travel guidebooks. NZ Frenzy is about giving you the details you'll need to find the "real" NZ, the one without lines of tour buses, the one without brochures of pay-to-see commercialized natural "attractions". NZ Frenzy, unlike any of the other mainstream guidebooks, will deliver you to the New Zealand that you've been planning for and fantasizing about. I guarantee it. Please read the reviews of NZ Frenzy North Island to see what travelers think of my info. Are you going to NZ to be a tourist at touristy crowded places or do you want to find the "Real" New Zealand that you'll tell stories about?? When you have an NZ Frenzy in hand, you'll leave the other guidebooks in the glove box and you'll leave the tourists behind!! The South Island has natural wonders beyond compare, but the mainstream media only promotes the commercialized stuff. Don't waste your precious time while in NZ waiting in line at the tourist visitor centers...get NZ Frenzy and go experience the Real New Zealand, the Fabled New Zealand. You can have the trip of a lifetime, you will have the trip of a lifetime!!

    Using lively examples from his and other researchers′ experiences, friendly, practical tips, and a warm, reflective writing style, this second edition has been completely updated and includes new features, such as:Chapter 4 on Linking Up: Provides readers with thoughtful guidelines as to how and where to use theory, what needs to be said about method, some thoughts about the traditional literature review (as well as how to decide whether or not to include this material!) Applications: Give readers the opportunity to put into practice some of Wolcott′s tips to improve or jump-start their own writing Bulleted Reviews: Highlight the key points to remember from each chapterRead the book that will not only enable you to better tell the story of your research in the article, monograph, or dissertation you need to write but also help you to incorporate writing into the essential role it must play in a professional research career.

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok.In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years—at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information (Alan Turing's role in breaking Germany's Enigma code during World War II), and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA de-coding to Homeland Security.Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time.

    As a child, he endured the intergenerational trauma that resulted from his family attending residential school. Growing up Cree in downtown Winnipeg, Canada, Clayton faced systemic racism and violence in school and on the streets, which led him to use his fists to defend himself and earn his livelihood. He escaped the hold that drugs and alcohol had on his life by reconnecting with his Cree heritage. For twenty years, he has been a campaigner with organizations including the Indigenous Environmental Network and 350.org, on the front lines of stopping the assault of industry on Indigenous peoples' lands. Using a nonlinear, oral storytelling style, Life in the City of Dirty Water offers the reflections of a man in midlife, telling his inner child, "I'm here now and I'm going to keep you safe."

    With extensive treatment of the heart of epidemiology-from study designs to descriptive epidemiology to quantitative measures-this reader-friendly text is accessible and interesting to a wide range of beginning students in all health-related disciplines. A unique focus is given to real-world applications of epidemiology and the development of skills that students can apply in subsequent course work and in the field. The text is also accompanied by a complete package of instructor and student resources available through a companion Web site.

    . . then I might have a chance to live; I might have a chance to be something more than just a struggling crackhead.From the Ashes is a remarkable memoir about hope and resilience, and a revelatory look into the life of a Métis-Cree man who refused to give up.Abandoned by his parents as a toddler, Jesse Thistle briefly found himself in the foster-care system with his two brothers, cut off from all they had known. Eventually the children landed in the home of their paternal grandparents, but their tough-love attitudes meant conflicts became commonplace. And the ghost of Jesse’s drug-addicted father haunted the halls of the house and the memories of every family member. Struggling, Jesse succumbed to a self-destructive cycle of drug and alcohol addiction and petty crime, spending more than a decade on and off the streets, often homeless. One day, he finally realized he would die unless he turned his life around.In this heartwarming and heartbreaking memoir, Jesse Thistle writes honestly and fearlessly about his painful experiences with abuse, uncovering the truth about his parents, and how he found his way back into the circle of his Indigenous culture and family through education.An eloquent exploration of what it means to live in a world surrounded by prejudice and racism and to be cast adrift, From the Ashes is, in the end, about how love and support can help one find happiness despite the odds.

    This revision provides a step-by-step approach to making the thesis or dissertation process easier and more manageable.