What if everything in life could be reduced to a simple formula? What if numbers were able to tell us which partners we were best matched with – not just in terms of attractiveness, but for a long-term committed marriage? Or if they could say which films would be the biggest hits at the box office, and what changes could be made to those films to make them even more successful? Or even who out of us is likely to commit certain crimes, and when? This may sound like the world of science-fiction, but in fact it is just the tip of the iceberg in a world that is increasingly ruled by complex algorithms and neural networks.In The Formula, Luke Dormehl takes you inside the world of numbers, asking how we came to believe in the all-conquering power of algorithms; introducing the mathematicians, artificial intelligence experts and Silicon Valley entrepreneurs who are shaping this brave new world, and ultimately asking how we survive in an era where numbers can sometimes seem to create as many problems as they solve.

    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.

    Conceived and compiled by the editors of Leadership journal, this book covers the full spectrum of ministry practice. Readers will learn about perennial topics such as time management, negotiating the terms of a call, handling crisis and conflict, hiring and managing staff, conducting special fund drives, spending church money, and dealing with tax and law considerations.This revised and expanded edition of a proven ministry resource contains new contributions from prominent ministry leaders. Contributors include Leith Anderson, Rick Warren, Brian McLaren, Luis Palau, John Ortberg, Aubrey Malphurs, and many others.

    This book is written in a simple manner for readers to understand the various terminologies and working process of the financial markets. If you are looking to understand and enter the stock markets but don't know from where to start, then this book is for you. The basic concepts are same for Indian and overseas markets so it will help you understanding both. It will help you as a reference guide for investing in stock markets. Specifically it will help you in:- 1. Know basic terms and conditions of the stock market. 2. Know products and services associated with the stock market. 3. Know how to kick start in stock markets. 4. know Do's and Don'ts in Stock Markets. 5. Selecting a broker. 6. How to make your first trade. 7. Additional mental mastering technique that will help you to achieve more on markets as well in life. 8. Insight of a trader/investor who has more than 10+ years of experience in stock markets. 9. Illustrated examples for more clarity on topics.

    As of January 14, 2016, this is an unverified document. NOTE: this document has been reformatted for the Kindle. It can be searched, bookmarked, annotated, etc. It is not a dump of the PDF.

    Unfortunately most of these are PREDICTABLE and AVOIDABLE. Tact and diplomacy can only get you so far in the wild and wacky world of project work. A combination of outrageous creativity, sheer bravado and nerves of steel will serve you far better than any fancy-schmancy Microsoft Project Gantt chart!'Scrappy Project Management' is about what REALLY happens in the project environment, how to survive it, and how to make sure that your team avoids the predictable and avoidable pitfalls that every project faces.

    Murray N. Rothbard's classic The Ethics of Liberty stands as one of the most rigorous and philosophically sophisticated expositions of the libertarian political position.What distinguishes Rothbard's book is the manner in which it roots the case for freedom in the concept of natural rights and applies it to a host of practical problems. An economist by profession, Rothbard here proves himself equally at home with philosophy. And while his conclusions are radical--that a social order that strictly adheres to the rights of private property must exclude the institutionalized violence inherent in the state--his applications of libertarian principles prove surprisingly practical for a host of social dilemmas, solutions to which have eluded alternative traditions.The Ethics of Liberty authoritatively established the anarcho-capitalist economic system as the most viable and the only principled option for a social order based on freedom. This edition is newly indexed and includes a new introduction that takes special note of the Robert Nozick-Rothbard controversies.

    More and more leading businesses today use estimation questions in interviews to test applicants' abilities to think on their feet. Guesstimation enables anyone with basic math and science skills to estimate virtually anything--quickly--using plausible assumptions and elementary arithmetic.Lawrence Weinstein and John Adam present an eclectic array of estimation problems that range from devilishly simple to quite sophisticated and from serious real-world concerns to downright silly ones. How long would it take a running faucet to fill the inverted dome of the Capitol? What is the total length of all the pickles consumed in the US in one year? What are the relative merits of internal-combustion and electric cars, of coal and nuclear energy? The problems are marvelously diverse, yet the skills to solve them are the same. The authors show how easy it is to derive useful ballpark estimates by breaking complex problems into simpler, more manageable ones--and how there can be many paths to the right answer. The book is written in a question-and-answer format with lots of hints along the way. It includes a handy appendix summarizing the few formulas and basic science concepts needed, and its small size and French-fold design make it conveniently portable. Illustrated with humorous pen-and-ink sketches, Guesstimation will delight popular-math enthusiasts and is ideal for the classroom.

    It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    If it takes a book to get it across, I hope this book will do it. It ought to.”—Thomas Schelling, Distinguished University Professor, School of Public Policy, University of Maryland, and 2005 Nobel Prize Laureate in Economics “With humor, insight, piercing logic and a nod to history, Ziliak and McCloskey show how economists—and other scientists—suffer from a mass delusion about statistical analysis. The quest for statistical significance that pervades science today is a deeply flawed substitute for thoughtful analysis. . . . Yet few participants in the scientific bureaucracy have been willing to admit what Ziliak and McCloskey make clear: the emperor has no clothes.”—Kenneth Rothman, Professor of Epidemiology, Boston University School of Health The Cult of Statistical Significance shows, field by field, how “statistical significance,” a technique that dominates many sciences, has been a huge mistake. The authors find that researchers in a broad spectrum of fields, from agronomy to zoology, employ “testing” that doesn’t test and “estimating” that doesn’t estimate. The facts will startle the outside reader: how could a group of brilliant scientists wander so far from scientific magnitudes? This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. The book shows for the first time how wide the disaster is, and how bad for science, and it traces the problem to its historical, sociological, and philosophical roots. Stephen T. Ziliak is the author or editor of many articles and two books. He currently lives in Chicago, where he is Professor of Economics at Roosevelt University. Deirdre N. McCloskey, Distinguished Professor of Economics, History, English, and Communication at the University of Illinois at Chicago, is the author of twenty books and three hundred scholarly articles. She has held Guggenheim and National Humanities Fellowships. She is best known for How to Be Human* Though an Economist (University of Michigan Press, 2000) and her most recent book, The Bourgeois Virtues: Ethics for an Age of Commerce (2006).

    The complexity of nature's shapes differs in kind, not merely degree, from that of the shapes of ordinary geometry, the geometry of fractal shapes.Now that the field has expanded greatly with many active researchers, Mandelbrot presents the definitive overview of the origins of his ideas and their new applications. The Fractal Geometry of Nature is based on his highly acclaimed earlier work, but has much broader and deeper coverage and more extensive illustrations.

    Cases, datasets, and examples allow for a more real-world perspective and explore relevant uses of regression techniques in business today.

    This new edition retains the familiar three-part structure - history, institutions, and policies - but incorporates expanded coverage of both enlargement issues and constitutional change. New policy and institutional developments are thoroughly explored, and an entirely new chapter examines the decisionmaking dynamics among the Commission, Council, and Parliament. The completely revised chapter on the complicated EU-U.S. relationship includes discussions of the Bush administration's worldview, the broad repercussions of the terrorist attacks in the United States and Spain, and the ongoing fallout from the war in Iraq.

    Howard Farran shows that running a business isn’t all that complicated—if, you’re focusing on the right three areas: •People: maximizing the potential of employees, customers, and yourself.•Time: mastering the efficiency that helps a business turn the biggest profit possible.•Money: learning to love the numbers that function as the business’s scorecard.With simplicity, good humor, and plenty of stories Dr. Farran reveals the actions that can lead anyone to bigger profits, happier people, and a more fulfilling life.