Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation.By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling.Web ResourceThe book is accompanied by an R package (rethinking) that is available on the author's website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

    This book picks you up at the very beginning and guides you through the foundations of algebra using lots of examples and no-nonsense explanations. Each chapter contains well-chosen exercises as well as all the solutions. No prior knowledge is required. Topics include: Exponents, Brackets, Linear Equations and Quadratic Equations. For a more detailed table of contents, use the "Look Inside" feature. From the author of "Great Formulas Explained" and "Physics! In Quantities and Examples".

    The book encourages a critical discussion of the different approaches and looks at some of the most important thinkers and their influence.

    In this book you will see how commonly performed operations can be found to be useless or even harmful when properly evaluated. That these claims come from an experienced, practicing orthopedic surgeon who performs many of these operations himself, makes the unsettling argument particularly compelling. Of course no surgeon is recommending invasive surgery in bad faith, but Ian Harris argues that the evidence for the success for many common operations, including knee arthroscopies, back fusion or cardiac stenting, become current accepted practice without full examination of the evidence.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    This view was at the core of the compact between government and science that led to the golden age of scientific research after World War II—a compact that is currently under severe stress. In this book, Donald Stokes challenges Bush's view and maintains that we can only rebuild the relationship between government and the scientific community when we understand what is wrong with that view.Stokes begins with an analysis of the goals of understanding and use in scientific research. He recasts the widely accepted view of the tension between understanding and use, citing as a model case the fundamental yet use-inspired studies by which Louis Pasteur laid the foundations of microbiology a century ago. Pasteur worked in the era of the "second industrial revolution," when the relationship between basic science and technological change assumed its modern form. Over subsequent decades, technology has been increasingly science-based. But science has been increasingly technology-based--with the choice of problems and the conduct of research often inspired by societal needs. An example is the work of the quantum-effects physicists who are probing the phenomena revealed by the miniaturization of semiconductors from the time of the transistor's discovery after World War II.On this revised, interactive view of science and technology, Stokes builds a convincing case that by recognizing the importance of use-inspired basic research we can frame a new compact between science and government. His conclusions have major implications for both the scientific and policy communities and will be of great interest to those in the broader public who are troubled by the current role of basic science in American democracy.

    The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's descriptive statistics, graphical displays, and realistic applications stand in strong contrast to traditional texts which are set in abstract settings.

    Rocketed to popularity by the 2003 bestseller Moneyball and the film of the same name, the use of sabermetrics to analyze player performance has appeared to be a David to the Goliath of systemically advantaged richer teams that could be toppled only by creative statistical analysis. The story has been so compelling that, over the past decade, team after team has integrated statistical analysis into its front office. But how accurately can crunching numbers quantify a player's ability? Do sabermetrics truly level the playing field for financially disadvantaged teams? How much of the baseball analytic trend is fad and how much fact?The Sabermetric Revolution sets the record straight on the role of analytics in baseball. Former Mets sabermetrician Benjamin Baumer and leading sports economist Andrew Zimbalist correct common misinterpretations and develop new methods to assess the effectiveness of sabermetrics on team performance. Tracing the growth of front office dependence on sabermetrics and the breadth of its use today, they explore how Major League Baseball and the field of sports analytics have changed since the 2002 season. Their conclusion is optimistic, but the authors also caution that sabermetric insights will be more difficult to come by in the future. The Sabermetric Revolution offers more than a fascinating case study of the use of statistics by general managers and front office executives: for fans and fantasy leagues, this book will provide an accessible primer on the real math behind moneyball as well as new insight into the changing business of baseball.

    It can be used in a variety of disciplines and is ideal for an introductory comprehensive undergraduate or graduate level course. Through its conversational, informal style it makes material that is often challenging for students both accessible and understandable. The Research Methods Knowledge Base, 3e covers everything from the development of a research question to the writing of a final report, describing both practical and technical issues of sampling, measurement, design and analysis.

    Humans: from the beginning will appeal to anybody who reads about these discoveries, is intrigued by them, and would like to know more about prehistory. Now brought fully up to date for 2015, Humans: from the beginning is a single-volume guide to the human past. Drawing upon expert literature and the latest multi-disciplinary research, this rigorous but accessible book traces the whole of the human story from the first apes to the first cities. The end product of five years of research, it has also been planned from the ground up to take advantage of the eBook format and ease access to visual matter, references and glossary items. Humans: from the beginning is written for the non-specialist, but it is sufficiently comprehensive in scope, rigorous in content, and well-referenced to serve as an ideal ‘one-stop’ text not only for undergraduate students of relevant disciplines, but also to postgraduates, researchers and other academics seeking to broaden their knowledge. This 32-chapter work presents an even-handed coverage of topics including: • How climate change has long played a pivotal role in our affairs and those of our ancestors. • How humans evolved from apes at a time when the apes were facing extinction. • Why the last common ancestor of humans and chimpanzees (our closest living relatives) might have been more like a human than a chimpanzee. • A possible Asian rather than African origin for the earliest humans. • Why the Neanderthals were not the dimwits of popular imagination. • How language and modern human behaviour evolved: an examination of theories including those of Robin Dunbar, Steven Mithen and Derek Bickerton. • How the small group of modern humans that eventually colonised the whole of the non-African world might have started from Arabia rather than Africa. • David Lewis-Williams’ theory that the cave art of Ice Age Europe was linked to a shamanistic belief system that might be rooted in the very architecture of the human brain. • Why the Neolithic transition from hunter-gathering to agriculture was a lengthy process, with many down sides. • Colin Renfrew’s still-controversial theory that the spread of farming communities in Neolithic times was responsible for the languages now spoken in many parts of the world. • How an ‘Urban Revolution’ replaced egalitarian farming communities with socially-stratified kingdoms and city-states in just a few millennia. • How the complex, technological societies of today have much in common with not only the earliest states but much earlier primate societies.

    To understand algebra is to possess the power to grow your skills and knowledge so you can ace your courses and possibly pursue further study in math. Algebra II For Dummies is the fun and easy way to get a handle on this subject and solve even the trickiest algebra problems. This friendly guide shows you how to get up to speed on exponential functions, laws of logarithms, conic sections, matrices, and other advanced algebra concepts. In no time you'll have the tools you need to:Interpret quadratic functions Find the roots of a polynomial Reason with rational functions Expose exponential and logarithmic functions Cut up conic sections Solve linear and non linear systems of equations Equate inequalities Simplifyy complex numbers Make moves with matrices Sort out sequences and sets This straightforward guide offers plenty of multiplication tricks that only math teachers know. It also profiles special types of numbers, making it easy for you to categorize them and solve any problems without breaking a sweat. When it comes to understanding and working out algebraic equations, Algebra II For Dummies is all you need to succeed!

    It uses examples and exercise sets, with clear explanations of problem-solving techniqes and material on the further theory of functions.

    The new edition is thoroughly updated, including most notably a new chapter on innate immunity, a capstone chapter on immune responses in time and space, and many new focus boxes drawing attention to exciting clinical, evolutionary, or experimental connections that help bring the material to life.See what's in the LaunchPad

    Packed with over 2,400 full-color illustrations, this atlas guides you step-by-step through each region of the body, helping you master the details of anatomy.Key Features:Exquisite full-color illustrations with clear, thorough labeling and descriptive captionsEven more clinical correlations help students make the connection between anatomy and medicineCoverage of each region intuitively arranged to simplify learning: beginning with the skeletal framework, then adding muscles, organs, vasculature, and nerves, and concluding with topographic illustrations that put it all togetherOver 170 tables summarize key anatomic information for ease of study and reviewInnovative, user-friendly format in which each two-page spread is a self-contained guide to a topicSurface anatomy spreads now include regions and reference lines or planes in addition to landmarks and palpable structures to develop physical exam skillsMuscle Fact spreads ideal for memorization, reference, and review organize the essentials about muscles, including origin, insertion, innervation, and actionNew sectional anatomy spreads at the end of units build familiarity with 2D views of anatomic regionsAccess to WinkingSkull.com PLUS, with over 500 images from the book for labels-on and labels-off review and timed self-tests for exam preparationAtlas of Anatomy is the student's choice:Thieme is the best anatomy atlas by far, hands down. Clearer pictures, more pictures, more realistic pictures, structures broken up in ways that make sense and shown from every angle...includes clinical correlations and summary charts of innervations and actions. That's about all there is to it. Just buy it. Thank you Thieme!!! Ok, now back to studying...In my opinion this book surpasses them all. It's the artwork. The artist has found the perfect balance of detail and clarity. Some of these illustrations have to be seen to be believed.... The pearls of clinical information are very good and these add significance to the information and make it easier to remember. Easier to remember is key.

    For the media, statistics are routinely 'damning', 'horrifying', or, occasionally, 'encouraging'. Yet, for all their ubiquity, most of us really don't know what to make of statistics. Exploring the history, mathematics, philosophy and practical use of statistics, Eileen Magnello - accompanied by Bill Mayblin's intelligent graphic illustration - traces the rise of statistics from the ancient Babylonians, Egyptians and Chinese, to the censuses of Romans and the Greeks, and the modern emergence of the term itself in Europe. She explores the 'vital statistics' of, in particular, William Farr, and the mathematical statistics of Karl Pearson and R.A. Fisher.She even tells how knowledge of statistics can prolong one's life, as it did for evolutionary biologist Stephen Jay Gould, given eight months to live after a cancer diagnoses in 1982 - and he lived until 2002. This title offers an enjoyable, surprise-filled tour through a subject that is both fascinating and crucial to understanding our world.