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.

    Never again will you order the Poisson Distribution in a French restaurant!This updated version features all new material.

    Get a new and powerful understanding of the world around you. Save yourself from the nonsense spouted by politicians, TV pundits, right-wingers, left-wingers, shamans, uncles, and best friends.

    

    Similarly, the upward spiral of college tuition fees is cause for serious concern. In this concise and illuminating book, the well-known economist William J. Baumol explores the causes of these seemingly intractable problems and offers a surprisingly simple explanation. Baumol identifies the "cost disease" as a major source of rapidly rising costs in service sectors of the economy. Once we understand that disease, he explains, effective responses become apparent.Baumol presents his analysis with characteristic clarity, tracing the fast-rising prices of health care and education in the United States and other major industrial nations, then examining the underlying causes, which have to do with the nature of providing labor-intensive services. The news is good, Baumol reassures us, because the nature of the disease is such that society will be able to afford the rising costs.

    Perhaps most surprisingly, Pomeranz demonstrates that the Chinese and Japanese cores were no worse off ecologically than Western Europe. Core areas throughout the eighteenth-century Old World faced comparable local shortages of land-intensive products, shortages that were only partly resolved by trade.Pomeranz argues that Europe's nineteenth-century divergence from the Old World owes much to the fortunate location of coal, which substituted for timber. This made Europe's failure to use its land intensively much less of a problem, while allowing growth in energy-intensive industries. Another crucial difference that he notes has to do with trade. Fortuitous global conjunctures made the Americas a greater source of needed primary products for Europe than any Asian periphery. This allowed Northwest Europe to grow dramatically in population, specialize further in manufactures, and remove labor from the land, using increased imports rather than maximizing yields. Together, coal and the New World allowed Europe to grow along resource-intensive, labor-saving paths.Meanwhile, Asia hit a cul-de-sac. Although the East Asian hinterlands boomed after 1750, both in population and in manufacturing, this growth prevented these peripheral regions from exporting vital resources to the cloth-producing Yangzi Delta. As a result, growth in the core of East Asia's economy essentially stopped, and what growth did exist was forced along labor-intensive, resource-saving paths--paths Europe could have been forced down, too, had it not been for favorable resource stocks from underground and overseas.

    I.O.U. is the story of how we came to experience such a complete and devastating financial implosion, and how the decisions and actions of a select group of individuals had profound consequences for America, Europe, and the global economy overall. John Lanchester begins with "The ATM Moment," that seemingly magical proliferation of cheap credit that led to an explosion of lending, and then deftly outlines the global and local landscapes of banking and finance. Viewing the crisis through the lens of politics, culture, and contemporary history -- from the invention and widespread misuse of financial instruments to the culpability of subprime mortgages -- Lanchester draws perceptive conclusions on the limitations of financial and governmental regulation, capitalism's deepest flaw, and, most important, on the plain and simple facts of human nature where cash is concerned.Weaving together firsthand research and superbly written reportage, Lanchester delivers a shrewd perspective and a digestible, comprehensive analysis that connects the dots for the expert and casual reader alike. I.O.U. is an eye-opener of a book -- it may well provoke anger, amazement, or rueful disbelief -- and, as the author clearly reveals, we've only just begun to get ourselves back on track.

    Valuation provides up-to-date insights and practical advice on how to create, manage, and measure an organization's value. Along with all-new case studies that illustrate how valuation techniques and principles are applied in real-world situations, this comprehensive guide has been updated to reflect the events of the Internet bubble and its effect on stock markets, new developments in academic finance, changes in accounting rules (both U. S. and IFRS), and an enhanced global perspective. This edition contains the solid framework that managers at all levels, investors, and students have come to trust.

    It states that securities prices in financial markets must equal fundamental values, either because all investors are rational or because arbitrage eliminates pricing anomalies. This bookdescribes an alternative approach to the study of financial markets: behavioral finance. This approach starts with an observation that the assumptions of investor rationality and perfect arbitrage are overwhelmingly contradicted by both psychological and institutional evidence. In actualfinancial markets, less than fully rational investors trade against arbitrageurs whose resources are limited by risk aversion, short horizons, and agency problems. The book presents models of such markets. These models explain the available financial data more accurately than the efficient marketshypothesis, and generate new predictions about security prices. By summarizing and expanding the research in behavioral finance, the book builds a new theoretical and empirical foundation for the economic analysis of real-world markets.

    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).

    This overview has enabled students to make sense more easily of what instructors are doing when they produce proofs, theorems and formulas.

    . . a most valuable contribution." — Douglas R. Hofstadter, author of Gödel, Escher, BachThe foundations of game theory were laid by John von Neumann, who in 1928 proved the basic minimax theorem, and with the 1944 publication of the Theory of Games and Economic Behavior, the field was established. Since then, game theory has become an enormously important discipline because of its novel mathematical properties and its many applications to social, economic, and political problems.Game theory has been used to make investment decisions, pick jurors, commit tanks to battle, allocate business expenses equitably — even to measure a senator's power, among many other uses. In this revised edition of his highly regarded work, Morton Davis begins with an overview of game theory, then discusses the two-person zero-sum game with equilibrium points; the general, two-person zero-sum game; utility theory; the two-person, non-zero-sum game; and the n-person game.A number of problems are posed at the start of each chapter and readers are given a chance to solve them before moving on. (Unlike most mathematical problems, many problems in game theory are easily understood by the lay reader.) At the end of the chapter, where solutions are discussed, readers can compare their "common sense" solutions with those of the author. Brimming with applications to an enormous variety of everyday situations, this book offers readers a fascinating, accessible introduction to one of the most fruitful and interesting intellectual systems of our time.

    This comprehensive introduction to international political economy clearly shows students how politics and economics come together in today's global environment. The text demonstrates how an understanding of IPE can help students make sense of global news, business investments, and government policies - by presenting the theories, institutions, and relationships found in IPE in simple ways that retain the complexity of the world issues and intellectual problems addressed. *New - Revised chapters throughout - Takes into account the number of important IPE events, especially the growing discussion of and concern about economic globalization, the financial crises in Asia and elsewhere, and the advent of a single currency in Europe, the Euro. *New - A survey of four theoretical perspectives - Rational choice; feminist; green; and post-modern. - Provides students with theories that challenge and enrich the traditional study of IPE. *New - Coverage of global security structure (Ch. 9) - Uproots the discussion from the previous focus on the Cold War. - Asks students to consider security as a

    In January 1919, after being arrested for her involvement in a workers' uprising in Berlin, she was brutally murdered by a group of right-wing soldiers. Her body was recovered days later from a canal. Six years earlier she had published what was undoubtedly her finest achievement, The Accumulation of Capital - a book which remains one of the masterpieces of socialist literature. Taking Marx as her starting point, she offers an independent and fiercely critical explanation of the economic and political consequences of capitalism in the context of the turbulent times in which she lived, reinterpreting events in the United States, Europe, China, Russia and the British Empire. Many today believe there is no alternative to global capitalism. This book is a timely and forceful statement of an opposing view.

    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.