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.

    For over half a century, the MLA Handbook is the guide millions of writers have relied on.The seventh edition is a comprehensive, up-to-date guide to research and writing in the online environment. It provides an authoritative update of MLA documentation style for use in student writing, including simplified guidelines for citing works published on the Web and new recommendations for citing several kinds of works, such as digital files and graphic narratives.Every copy of the seventh edition of the MLA Handbook comes with a code for accessing the accompanying Web site. New to this edition, the Web site provides- the full text of the print volume of the MLA Handbook- over two hundred additional examples- several research-project narratives--stories, with sample papers, that illustrate the steps successful students take in researching and writing papers- searching of the entire site, including the full text of the MLA Handbook- continuous access throughout the life of the seventh edition of the MLA Handbook

    Writing with humour, humanity and solid scientific information reminiscent of Stumbling on Happiness and Freakonomics, Piers Steel explains why we knowingly and willingly put off a course of action despite recognizing we'll be worse off for it.For those who surf the Web instead of finishing overdue assignments, who always say diets start tomorrow, who stay up late watching TV to put off going to sleep, The Procrastination Equation explains why we do what we do — or in this case don't — and why in Western societies we're in the midst of an escalating procrastination epidemic.Dr. Piers Steel takes on the myths and misunderstandings behind procrastination and motivation — showing us how procrastination affects our lives, health, careers and happiness and what we can do about it. With accessible prose and the benefits of new scientific research, he provides insight into why we procrastinate even though the result is that we are less happy, healthy, even wealthy. Who procrastinates and why? How many ways, big and small, do we procrastinate? How can we stop doing it? The reasons are part cultural, part psychological, part biological. And, with a million new ways to distract ourselves in the digitized world — all of which feed on our built-in impulsiveness — more of us are potentially damaging ourselves by putting things off. But Steel not only analyzes the factors that weigh us down but the things that motivate us — including understanding the value of procrastination.

    This book provides an applications-oriented introduction to multivariate data analysis for the non-statistician, by focusing on the fundamental concepts that affect the use of specific techniques.

    Mitnick claims that this socialengineering tactic was the single-most effective method in hisarsenal. This indispensable book examines a variety of maneuversthat are aimed at deceiving unsuspecting victims, while it alsoaddresses ways to prevent social engineering threats.Examines social engineering, the science of influencing atarget to perform a desired task or divulge informationArms you with invaluable information about the many methods oftrickery that hackers use in order to gather information with theintent of executing identity theft, fraud, or gaining computersystem accessReveals vital steps for preventing social engineeringthreatsSocial Engineering: The Art of Human Hacking does itspart to prepare you against nefarious hackers--now you can doyour part by putting to good use the critical information withinits pages.

    This book explains the technical aspects of hacking, including stack based overflows, heap based overflows, string exploits, return-into-libc, shellcode, and cryptographic attacks on 802.11b.

    No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal (lowest-level high-school algebra). This text may be used in a one or two course sequence. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.

    His guests were some of the top performing humans in the world, people who had changed their areas of study or even pioneered entirely new fields. Dave wanted to know: What did they have in common? What mattered most to them? What made them so successful—and what made them tick? At the end of each interview, Dave asked the same question: “What are your top three recommendations for people who want to perform better at being human?”After performing a statistical analysis of the answers, he found that the wisdom gleaned from these highly successful people could be distilled into three main objectives: finding ways to become smarter, faster, and happier. Game Changers is the culmination of Dave’s years-long immersion in these conversations, offering 46 science-backed, high performance “laws” that are a virtual playbook for how to get better at life.With anecdotes from game changers like Dr. Daniel Amen, Gabby Bernstein, Dr. David Perlmutter, Arianna Huffington, Esther Perel, and Tim Ferris as well as examples from Dave’s own life, Game Changers offers readers practical advice they can put into action to reap immediate rewards. From taming fear and anxiety to making better decisions, establishing high-performance habits, and practicing gratitude and mindfulness, Dave brings together the wisdom of today’s game-changers to help everyone kick more ass at life.

    While such visualizations can better inform us, they can also deceive by displaying incomplete or inaccurate data, suggesting misleading patterns—or simply misinform us by being poorly designed, such as the confusing “eye of the storm” maps shown on TV every hurricane season.Many of us are ill equipped to interpret the visuals that politicians, journalists, advertisers, and even employers present each day, enabling bad actors to easily manipulate visuals to promote their own agendas. Public conversations are increasingly driven by numbers, and to make sense of them we must be able to decode and use visual information. By examining contemporary examples ranging from election-result infographics to global GDP maps and box-office record charts, How Charts Lie teaches us how to do just that.

    Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points.The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated referencesNow current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.

    Instead, today's schools promote the false "gods" of economic utility, consumerism, or ethnic separatism and resentment. What alternative strategies can we use to instill our children with a sense of global citizenship, healthy intellectual skepticism, respect of America's traditions, and appreciation of its diversity? In answering this question, The End of Education restores meaning and common sense to the arena in which they are most urgently needed."Informal and clear...Postman's ideas about education are appealingly fresh."--New York Times Book Review

    With it you can prime yourself with the key concepts of statistics before getting involved in the associated calculations. Using words and diagrams instead of figures, formulae and equations, Derek Rowntree makes statistics accessible to those who are non-mathematicians. And just to get you into the spirit of things. Rowntree has included questions in his argument; answer them as you go and you will be able to tell how far you have mastered the subject.

    It introduces the analysis of the key elements of language--sounds, words, structures and meanings, and provides a solid foundation in all of the essential topics. The third edition has been extensively revised to include new sections on important contemporary issues in language study, including language and culture, African American English, sign language, and slang. A comprehensive glossary provides useful explanations of technical terms, and each chapter contains a range of new study questions and research tasks, with suggested answers.

    In Dataclysm, Christian Rudder uses it to show us who we truly are.   For centuries, we’ve relied on polling or small-scale lab experiments to study human behavior. Today, a new approach is possible. As we live more of our lives online, researchers can finally observe us directly, in vast numbers, and without filters. Data scientists have become the new demographers.   In this daring and original book, Rudder explains how Facebook "likes" can predict, with surprising accuracy, a person’s sexual orientation and even intelligence; how attractive women receive exponentially more interview requests; and why you must have haters to be hot. He charts the rise and fall of America’s most reviled word through Google Search and examines the new dynamics of collaborative rage on Twitter. He shows how people express themselves, both privately and publicly. What is the least Asian thing you can say? Do people bathe more in Vermont or New Jersey? What do black women think about Simon & Garfunkel? (Hint: they don’t think about Simon & Garfunkel.) Rudder also traces human migration over time, showing how groups of people move from certain small towns to the same big cities across the globe. And he grapples with the challenge of maintaining privacy in a world where these explorations are possible.   Visually arresting and full of wit and insight, Dataclysm is a new way of seeing ourselves—a brilliant alchemy, in which math is made human and numbers become the narrative of our time.

    . .he believes these ideas to be accessible to the audience he wantsto reach, and he writes so that they are. -- NatureIf you want to encourage anyone's interest in math, get them TheMathematical Universe. * New Scientist