In this richly illustrated book, accessible examples are used to show how information theory can be understood in terms of everyday games like '20 Questions', and the simple MatLab programs provided give hands-on experience of information theory in action. Written in a tutorial style, with a comprehensive glossary, this text represents an ideal primer for novices who wish to become familiar with the basic principles of information theory.Download chapter 1 from http://jim-stone.staff.shef.ac.uk/Boo...

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

    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.

    From the optimizing individual to game theory to price theory, The Cartoon Introduction to Economics is the most digestible, explicable, and humorous 200-page introduction to microeconomics you'll ever read.Bauman has put the "comedy" into "economy" at comedy clubs and universities around the country and around the world (his "Principles of Economics, Translated" is a YouTube cult classic). As an educator at both the university and high school levels, he has learned how to make economics relevant to today's world and today's students. As Google's chief economist, Hal Varian, wrote, "You don't need a brand-new economics. You just need to see the really cool stuff, the material they didn't get to when you studied economics." The Cartoon Introduction to Economics is all about integrating the really cool stuff into an overview of the entire discipline of microeconomics, from decision trees to game trees to taxes and thinking at the margin.Rendering the cool stuff fun is the artistry of the illustrator and lauded graphic novelist Klein. Panel by panel, page by page, he puts comics into economics. So if the vertiginous economy or a dour professor's 600-page econ textbook has you desperate for a fun, factual guide to economics, reach for The Cartoon Introduction to Economics and let the collaborative genius of the Klein-Bauman team walk you through an entire introductory microeconomics course.

    This book provides an introduction to the field of solid state physics for undergraduate students in physics, chemistry, engineering, and materials science.

    Emphasis on developing algebraic skills is extended to the exercises--including both drill problems and applications. The authors work through examples and explanations with a blend of rigor and accessibility. In addition, they have refined the flow, transitions, organization, and portioning of the content over many editions to optimize learning for readers. The table of contents covers a wide range of topics efficiently, enabling readers to gain a diverse understanding.

    Using everyday terms and readily grasped concepts, Dr. Anthony M. Criniti IV, a former financial consultant and current university-level finance professor, sets out to detail the necessity of finance; to clarify the definition, purpose, and goals of both finance and economics; to explore financial concepts in a straightforward manner; and to stimulate interest and understanding that will lead to ongoing investigation. Finance, although highly interrelated with many subjects, is a separate field of study often confused with other areas, most notably economics. With world wealth accumulating to its highest point in history, the necessity to understand this subject on its own terms is crucial. The Necessity of Finance highlights the need to engage with finance as a separate science, clears up the confusion with related subjects, and coins the word "financialists" to identify the scientists in this dynamic field. Equipping the beginner to intermediate level financial student with vital information and a clear approach for continued study, its unique perspective will also be of value to the advanced student and the practitioner. Topics include: What is the difference between money and wealth? What is risk and return? What kinds of investments exist? What are the different techniques for selecting investments? What role does ethics play in finance? While The Necessity of Finance does not replace required textbooks, it is an indispensible supplemental learning tool that may clarify expectations of future financial journeys, whether in a university or in the marketplace. In this extremely useful overview, Dr. Criniti demonstrates that finance is a very promising science that will benefit those who commit themselves to its study and practice.

    The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: http: //www.stat.columbia.edu/ gelman/arm/

    Organized around the central concept of a vector space, the book includes numerous physical applications in the body of the text as well as many problems of a physical nature. It is also one of the purposes of this book to introduce the physicist to the language and style of mathematics as well as the content of those particular subjects with contemporary relevance in physics.Chapters 1 and 2 are devoted to the mathematics of classical physics. Chapters 3, 4 and 5 — the backbone of the book — cover the theory of vector spaces. Chapter 6 covers analytic function theory. In chapters 7, 8, and 9 the authors take up several important techniques of theoretical physics — the Green's function method of solving differential and partial differential equations, and the theory of integral equations. Chapter 10 introduces the theory of groups. The authors have included a large selection of problems at the end of each chapter, some illustrating or extending mathematical points, others stressing physical application of techniques developed in the text.Essentially self-contained, the book assumes only the standard undergraduate preparation in physics and mathematics, i.e. intermediate mechanics, electricity and magnetism, introductory quantum mechanics, advanced calculus and differential equations. The text may be easily adapted for a one-semester course at the graduate or advanced undergraduate level.

    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).

    An Introduction to Game Theory, by Martin J. Osborne, presents the main principles of game theory and shows how they can be used to understand economic, social, political, and biological phenomena. The book introduces in an accessible manner the main ideas behind the theory rather than their mathematical expression. All concepts are defined precisely, and logical reasoning is used throughout. The book requires an understanding of basic mathematics but assumes no specific knowledge of economics, political science, or other social or behavioral sciences. Coverage includes the fundamental concepts of strategic games, extensive games with perfect information, and coalitional games; the more advanced subjects of Bayesian games and extensive games with imperfect information; and the topics of repeated games, bargaining theory, evolutionary equilibrium, rationalizability, and maxminimization. The book offers a wide variety of illustrations from the social and behavioral sciences and more than 280 exercises. Each topic features examples that highlight theoretical points and illustrations that demonstrate how the theory may be used. Explaining the key concepts of game theory as simply as possible while maintaining complete precision, An Introduction to Game Theory is ideal for undergraduate and introductory graduate courses in game theory.

    

    This text aims to motivate the need for tools with concrete applications, providing simple assumptions that match the application.

    It shouldn't take a worldwide pandemic and nationwide protests to bring economic and racial inequality to the forefront of problems we desperately need to solve. But now that the opportunity is here, what should we do? How can we create more equality, opportunity, and growth for everyone? Not someday, but what can government and the private sector do right now to disrupt a status quo that almost everyone wants to change?In Common Sense, the New York Times best-selling author Joel Greenblatt offers an investor's perspective on building an economy that truly works for everyone. With dry wit and engaging storytelling, he makes a lively and provocative case for disruptive new approaches--some drawn from personal experience, some from the outside looking in. How can leading corporations immediately disrupt our education establishment while creating high-paying job opportunities for those currently left behind? If we want a living wage for everyone, how can we afford it while using an existing program to get it done now? If we subsidize banks, what simple changes can we make to the way we capitalize and regulate them to help grow the economy, increase access, and create more jobs (while keeping the risks and benefits where they belong)? Greenblatt also explains how dramatically increasing immigration would be like giving every American a giant bonus and the reason Australia might be the best place to learn about saving for retirement.Not everyone will agree with what Greenblatt has to say--but all of us can benefit from the conversations he aims to start.

    Python is easy to learn, and it's perfect for exploring topics like statistics, geometry, probability, and calculus. You’ll learn to write programs to find derivatives, solve equations graphically, manipulate algebraic expressions, even examine projectile motion.Rather than crank through tedious calculations by hand, you'll learn how to use Python functions and modules to handle the number crunching while you focus on the principles behind the math. Exercises throughout teach fundamental programming concepts, like using functions, handling user input, and reading and manipulating data. As you learn to think computationally, you'll discover new ways to explore and think about math, and gain valuable programming skills that you can use to continue your study of math and computer science.If you’re interested in math but have yet to dip into programming, you’ll find that Python makes it easy to go deeper into the subject—let Python handle the tedious work while you spend more time on the math.