R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. * Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. * Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. * The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. * Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. * Includes numerous worked examples and exercises within each chapter. * Accompanied by a website featuring worked examples, data sets, exercises and solutions: http: //www.imperial.ac.uk/bio/research/crawl... Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.

    Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

    It is planned to give a solid basis of the structures and vocabulary of English. Each book contains material for about a year's work, the vocabulary rising to some 3,000 words.The Teacher's Books provide notes on each lesson, the vocabulary to be taught, supplementary grammatical material and answers to exercises.In this new edition some of the grammatical sections have been, rewritten and expanded, and parts of the text and many illustrations have been brought up to date. Fundamentally, however, the new edition remains the same as previous editions.

    Crafted and edited with care, Worth Books set the standard for quality and give you the tools you need to be a well-informed reader.    This short summary and analysis of The Handmaid’s Tale by Margaret Atwood includes:   Historical context Part-by-part summaries Analysis of the main characters Themes and symbols Important quotes Fascinating trivia Glossary of terms Supporting material to enhance your understanding of the original work   About Margaret Atwood’s The Handmaid’s Tale:   Margaret Atwood’s dystopian literary masterpiece tells the story of Offred, a Handmaid living in the near future in what was once the United States. A new theocratic regime called the Republic of Gilead has come to power and changed life as she knew it.   Once Offred had a her own name and a loving family—a husband and daughter—both of which were taken from her; now she belongs to the Commander and his hostile wife, and her only value lies in her ability to bear a child for them. She used to read books and learn; now such things are forbidden to all women.   Gripping, disturbing, and so relevant today, The Handmaid’s Tale is a brilliant novel and a chilling warning about what can happen when extreme ideas are taken to their logical conclusions.   The summary and analysis in this ebook are intended to complement your reading experience and bring you closer to a great work of fiction.

    These documents reveal the clandestine dealings of clubs, players and agents at the highest echelons of international football. And the story they tell is astonishing.From the eye-popping details of player transfers including Neymar Jr, Pogba and Coutinho, to the loopholes and opaque tax structures that ensure maximum earnings for players and agents alike, this is a tale rife with rapacious greed and questionable deals. At the same time, it is the gripping story of a fan who wanted to free football from its corrupt overlords - and now finds himself on the run.

    It bridges the gap between the mechanics of econometrics and modern applications of econometrics by employing a systematic approach motivated by the major problems facing applied researchers today. Throughout the text, the emphasis on examples gives a concrete reality to economic relationships and allows treatment of interesting policy questions in a realistic and accessible framework.

    But all too often, these numbers are wrong. This book is a lively guide to spotting bad statistics and learning to think critically about these influential numbers. Damned Lies and Statistics is essential reading for everyone who reads or listens to the news, for students, and for anyone who relies on statistical information to understand social problems.Joel Best bases his discussion on a wide assortment of intriguing contemporary issues that have garnered much recent media attention, including abortion, cyberporn, homelessness, the Million Man March, teen suicide, the U.S. census, and much more. Using examples from the New York Times, the Washington Post, and other major newspapers and television programs, he unravels many fascinating examples of the use, misuse, and abuse of statistical information.In this book Best shows us exactly how and why bad statistics emerge, spread, and come to shape policy debates. He recommends specific ways to detect bad statistics, and shows how to think more critically about "stat wars," or disputes over social statistics among various experts. Understanding this book does not require sophisticated mathematical knowledge; Best discusses the most basic and most easily understood forms of statistics, such as percentages, averages, and rates.This accessible book provides an alternative to either naively accepting the statistics we hear or cynically assuming that all numbers are meaningless. It shows how anyone can become a more intelligent, critical, and empowered consumer of the statistics that inundate both the social sciences and our media-saturated lives.

     Leverage on great companies, churning more and more profits every year

    The many aspects of our lives that are governed by social networks make it critical to understand how they impact behavior, which network structures are likely to emerge in a society, and why we organize ourselves as we do. In Social and Economic Networks, Matthew Jackson offers a comprehensive introduction to social and economic networks, drawing on the latest findings in economics, sociology, computer science, physics, and mathematics. He provides empirical background on networks and the regularities that they exhibit, and discusses random graph-based models and strategic models of network formation. He helps readers to understand behavior in networked societies, with a detailed analysis of learning and diffusion in networks, decision making by individuals who are influenced by their social neighbors, game theory and markets on networks, and a host of related subjects. Jackson also describes the varied statistical and modeling techniques used to analyze social networks. Each chapter includes exercises to aid students in their analysis of how networks function.This book is an indispensable resource for students and researchers in economics, mathematics, physics, sociology, and business.

    We have learned little from the cataclysms of September 11 and Hurricane Katrina. When it comes to catastrophe, America is living on borrowed time-and squandering it. In this new book, leading security expert Stephen Flynn issues a call to action, demanding that we wake up and prepare immediately for a safer future. The truth is acts of terror cannot always be prevented, and nature continues to show its fury in frighteningly unpredictable ways. Resiliency, argues Flynn, must now become our national motto. With chilling frankness and clarity, Flynn paints an all too real scenario of the threats we face within our own borders. A terrorist attack on a tanker carrying liquefied natural gas into Boston Harbor could kill thousands and leave millions more of New Englanders without power or heat. The destruction of a ship with a cargo of oil in Long Beach, California, could bring the West Coast economy to its knees and endanger the surrounding population. But even these all-too-plausible terrorist scenarios pale in comparison to the potential destruction wrought by a major earthquake or hurricane. Our growing exposure to man-made and natural perils is largely rooted in our own negligence, as we take for granted the infrastructure handed down to us by earlier generations. Once the envy of the world, this infrastructure is now crumbling. After decades of neglect, our public health system leaves us at the mercy of microbes that could kill millions in the next flu pandemic. Flash flooding could wipe out a fifty-year-old dam north of Phoenix, placing thousands of homes and lives at risk. The next San Francisco earthquake could destroy century-old levees, contaminating the freshwater supply that most of California relies on for survival. It doesn't have to be this way. "The Edge of Disaster "tells us what we can do about it, as individuals and as a society. We can-and, Flynn argues, we must-construct a more resilient nation. With the wounds of recent national tragedies still unhealed, the time to act is now. Flynn argues that by tackling head-on, eyes open the perils that lie before us, we can remain true to our most important and endearing national trait: our sense of optimism about the future and our conviction that we can change it for the better for ourselves-and our children. "Steve Flynn offers the answer not only to protecting America from terrorist attacks and natural disaster but also to revitalizing our democracy. This book is a must-read for all members of Congress, 2008 presidential candidates, and ordinary citizens who want to build a better and safer future."-Anne-Marie Slaughter, dean, Woodrow Wilson School of Public and International Affairs, Princeton University Advance praise for "The Edge of Disaster" "Steve Flynn has done it again. Like America the Vulnerable before it, "The Edge of Disaster" is the must-read book for every American, elected official, and presidential candidate who is committed to ensuring that our nation continue to thrive in perilous times."-Mark Warner, former governor of Virginia "Since 9/11, protecting our nation against a terrorist attack has consumed policy makers in Washington. What Stephen Flynn points out in The Edge of Disaster is that much of this effort has been directed overseas, often at the expense of our homeland and its much more likely areas of vulnerability. Laying out a series of potential disasters both manmade and natural, Flynn calls for a greater emphasis on preparedness and the ability of communities and the nation to recover. Painting an often frustrating and infuriating picture of missed opportunities, "The Edge of Disaster "is a call to action. The time to act is now. We can only hope that policy makers are listening." -Christine Todd Whitman, former governor of New Jersey and former administrator, Environmental Protection Agency (2001-03) "Steve Flynn's book makes the very persuasive argument that national security preparedness is linked to natural disaster preparedness. By investing significantly in our critical infrastructure, in citizen preparedness, and most importantly in leadership, we can be better prepared for all hazards. A great book that I highly recommend." -James Lee Witt, former director, Federal Emergency Management Agency "Steve Flynn has become a relentless contributor to the dialogue on prioritizing the work of the post-9/11 security environment. "The Edge of Disaster" calls into question the neglect of domestic preparedness in favor of the Department of Defense-driven offensive in the global war on terrorism. The book offers provocative challenges to both our elected and our private-sector leaders, and both should read it thoroughly." -Admiral James M. Loy, former commandant, U.S. Coast Guard, and former deputy secretary of homeland security

    This edition features new material on Controls, Computer-Aided Design and Manufacturing, and Off-Line Programming Systems.

    Therefore, this book provides the fundamental concepts and techniques of real analysis for readers in all of these areas. It helps one develop the ability to think deductively, analyze mathematical situations and extend ideas to a new context. Like the first two editions, this edition maintains the same spirit and user-friendly approach with some streamlined arguments, a few new examples, rearranged topics, and a new chapter on the Generalized Riemann Integral.

    This text uses a unified approach based on a single economics model that provides readers with a clear understanding of macroeconomics and its classical and Keynesian assumptions. Introduction: Introduction to Macroeconomics; The Measurement and Structure of the National Economy. Long-Run Economic Performance: Productivity, Output, and Employment; Consumption, Saving, and Investment; Saving and Investment in the Open Economy; Long-Run Economic Growth; The Asset Market, Money, and Prices. Business Cycles and Macroeconomic Policy: Business Cycles; The IS-LM/AD-AS Model: A General Framework for Macroeconomic Analysis; Classical Business Cycle Analysis: Market-Clearing Macroeconomics; Keynesianism: The Macroeconomics of Wage and Price Rigidity. Macroeconomic Policy: Its Environment and Institutions: Unemployment and Inflation; Exchange Rates, Business Cycles, and Macroeconomic Policy in the Open Economy; Monetary Policy and the Federal Reserve System; Government Spending and Its Financing. For all readers interested in intermediate macroeconomics.

    Switching from thin tailed to fat tailed distributions requires more than "changing the color of the dress." Traditional asymptotics deal mainly with either n=1 or n=∞, and the real world is in between, under the "laws of the medium numbers"-which vary widely across specific distributions. Both the law of large numbers and the generalized central limit mechanisms operate in highly idiosyncratic ways outside the standard Gaussian or Levy-Stable basins of convergence. A few examples: - The sample mean is rarely in line with the population mean, with effect on "na�ve empiricism," but can be sometimes be estimated via parametric methods. - The "empirical distribution" is rarely empirical. - Parameter uncertainty has compounding effects on statistical metrics. - Dimension reduction (principal components) fails. - Inequality estimators (Gini or quantile contributions) are not additive and produce wrong results. - Many "biases" found in psychology become entirely rational under more sophisticated probability distributions. - Most of the failures of financial economics, econometrics, and behavioral economics can be attributed to using the wrong distributions. This book, the first volume of the Technical Incerto, weaves a narrative around published journal articles.

    In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jorn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications