Clear, comprehensive coverage of utility theory, 2-person zero-sum games, 2-person non-zero-sum games, n-person games, individual and group decision-making, more. Bibliography.

    But many managers can't read a balance sheet, wouldn't recognize a liquidity ratio, and don't know how to calculate return on investment. Worse, they don't have any idea where the numbers come from or how reliable they really are. In Financial Intelligence, Karen Berman and Joe Knight teach the basics of finance--but with a twist. Financial reporting, they argue, is as much art as science. Because nobody can quantify everything, accountants always rely on estimates, assumptions, and judgment calls. Savvy managers need to know how those sources of possible bias can affect the financials and that sometimes the numbers can be challenged. While providing the foundation for a deep understanding of the financial side of business, the book also arms managers with practical strategies for improving their companies' performance--strategies, such as "managing the balance sheet," that are well understood by financial professionals but rarely shared with their nonfinancial colleagues. Accessible, jargon-free, and filled with entertaining stories of real companies, Financial Intelligence gives nonfinancial managers the financial knowledge and confidence for their everyday work. Karen Berman and Joe Knight are the owners of the Los Angeles-based Business Literacy Institute and have trained tens of thousands of managers at many leading organizations. Co-author John Case has written several popular books on management.

    Having just served as Governor of the Federal Reserve, only Mishkin has the unique insider's perspective needed to present the current state of money and banking and explain the latest debates and issues for today s students. By applying a unified analytical framework to the models, "The Economics of Money, Banking, and Financial Markets" makes theory intuitive for students, and the rich array of current, real-world events keeps students motivated. Authoritative, comprehensive, and flexible, the text is easy to integrate into a wide variety of syllabi, and its ancillaries provide complete support when teaching the course."

    R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. You'll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics.The author introduces you to the R environment, including the R graphical user interface and console, and takes you through the fundamentals of the object-oriented R language. Then, through a variety of practical examples from medicine, business, and sports, you'll learn how you can use this remarkable tool to solve your own data analysis problems.Understand the basics of the language, including the nature of R objectsLearn how to write R functions and build your own packagesWork with data through visualization, statistical analysis, and other methodsExplore the wealth of packages contributed by the R communityBecome familiar with the lattice graphics package for high-level data visualizationLearn about bioinformatics packages provided by Bioconductor"I am excited about this book. R in a Nutshell is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it accessible to anyone working with data, not just professional statisticians."

    But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that.This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples.By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to:- How to measure your own level of uncertainty in a conclusion or belief- Calculate Bayes theorem and understand what it's useful for- Find the posterior, likelihood, and prior to check the accuracy of your conclusions- Calculate distributions to see the range of your data- Compare hypotheses and draw reliable conclusions from themNext time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.

    This book covers game theory, economics of Information, and behavioral economics, using examples that cover such topics as the analysis of demand, cost, and market efficiency; the design of pricing strategies; and public policy analysis.

    And who could blame them? These so-called millennials have come of age in the wake of the worst economic crisis in memory, and are now trying to get by in its aftermath. They owe record levels of student loan debt, face sky-high rents, and struggle to live on a budget in an uncertain economy. It’s time for them to get a financial life. For two decades, Beth Kobliner’s bestseller has been the financial bible for people in their twenties and thirties. With her down-to-earth style, she has taught them how to get out of debt, learn to save, and invest for their futures. In this completely revised and updated edition, Kobliner shares brand-new insights and concrete, actionable advice geared to help a new generation of readers form healthy financial habits that will last a lifetime. With fresh material that reflects the changing digital world, Get a Financial Life remains an essential tool for young people learning how to manage their money. From tackling taxes to boosting credit scores, Get a Financial Life can show those just starting out how to decrease their debt, avoid common money mistakes, and navigate the world of personal finance in today’s ever-changing landscape.

    Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data

    Masterfully combining the results of years of teaching microeconomics at Harvard University, Andreu Mas-Colell, Michael Whinston, and Jerry Green have filled that conspicuous vacancy with their groundbreaking text, Microeconomic Theory.The authors set out to create a solid organizational foundation upon which to build the effective teaching tool for microeconomic theory. The result presents unprecedented depth of coverage in all the essential topics, while allowing professors to tailor-make their course to suit personal priorities and style. Topics such as noncooperative game theory, information economics, mechanism design, and general equilibrium under uncertainty receive the attention that reflects their stature within the discipline. The authors devote an entire section to game theory alone, making it free-standing to allow instructors to return to it throughout the course when convenient. Discussion is clear, accessible, and engaging, enabling the student to gradually acquire confidence as well as proficiency. Extensive exercises within each chapter help students to hone their skills, while the text's appendix of terms, fully cross-referenced throughout the previous five sections, offers an accessible guide to the subject matter's terminology. Teachers of microeconomics need no longer rely upon scattered lecture notes to supplement their textbooks. Deftly written by three of the field's most influential scholars, Microeconomic Theory brings the readability, comprehensiveness, and versatility to the first-year graduate classroom that has long been missing.

    The Great Investors will have a permanent place on my desk.'Mark Sheridan, Executive Director, Nomura International PLCLeading investors such as Warren Buffett, Benjamin Graham, Sir John Templeton, George Soros and Anthony Bolton are known throughout the world. How did these people come to be so successful? Which strategies have they used to make their fortunes? And what can you learn from their techniques?In The Great Investors, Glen Arnold succinctly and accurately describes the investment philosophies of the world's greatest investors. He explains why they are the best, gives details of their tactics for accumulating wealth, captures the key elements that led to their market-beating successes and teaches you key lessons that you can apply to your own investing strategies.From the foreword:'There are some very special people who seem to possess an exceptional talent for acquiring wealth. I want to explore not just the past triumphs of these masters, but also the key factors they look for as well as the personality traits that allow them to control emotion and think rationally about where to place funds. How does a master of investment hone skills through bitter experience and triumph to develop their approach to accumulating wealth?'Glen Arnold The Great Investors is the story of a number of remarkable men: John Templeton, George Soros, Warren Buffett, Benjamin Graham, Philip Fisher, Peter Lynch, Anthony Bolton and John Neff. Whether you're new to investing, have had success in the markets, or you're a professional investor or fund manger, you'll benefit from reading about their proven, and successful, trading philosophies.The Great Investorswill show you how to:- Be a business analyst rather than a security analyst- Do your homework and develop a broad social, economic and political awareness- Control emotion so as not to get swept away by the market- Be consistent in your approach, even when you have bad years- See the wood for the trees and not over complicate your portfolio- Learn from your investing- Be self reliant, stand aside from the crowd and follow your own logic- Take reasonable risk

    Applauded for providing the most clear and accurate presentation of advanced microeconomic concepts, it offers an ideal level of mathematical rigor for upper level undergraduate students and beginning graduate students. It gives students the opportunity to work directly with theoretical tools, real-world applications, and cutting edge developments in the study of microeconomics. This text is solid, rigorous, comprehensive, and is sensibly challenging for students, best serving students with a mathematics background.

    In The Golden Passport, he reveals the inner workings of a singular nexus of power, ambition, and influence: Harvard Business School.Harvard University occupies a unique place in the public’s imagination, but HBS has arguably eclipsed its parent in terms of its influence on modern society. A Harvard degree guarantees respect. An HBS degree is, as the New York Times proclaimed in 1978, "the golden passport to life in the upper class." Those holding Harvard MBAs are near-guaranteed entrance into Western capitalism’s most powerful realm—the corner office.Most people have a vague knowledge of the power of the HBS network, but few understand the dynamics that have made HBS an indestructible and powerful force for almost a century. As McDonald explores these dynamics, he also reveals how, despite HBS’s enormous success, it has failed with respect to the stated goal of its founders: "the multiplication of men who will handle their current business problems in socially constructive ways." While HBS graduates tend to be very good at whatever they do, that is rarely the doing of good.In addition to teasing out the essence of this exclusive, if not necessarily "secret" club, McDonald explores two important questions: Has the school failed at reaching the goals it set for itself? And is HBS therefore complicit in the moral failings of Western capitalism? At a time of pronounced economic disparity and political unrest, this hard-hitting yet fair portrait offers a much-needed look at an institution that has a profound influence on the shape of our society and all our lives.

    In a series of startling experiments, Canadian scientist Dr. John Coates identified a feedback loop between testosterone and success that dramatically lowers the fear of risk in men, especially young men; he has vividly dubbed the moment when traders transform into exuberant high flyers "the hour between dog and wolf." Similarly, intense failure leads to a rise in levels of cortisol, which dramatically lowers the appetite for risk. His book expands on his seminal research to offer lessons from the exploding new field studying the biology of risk. Coates's conclusions shed light on all types of high-pressure decision-making, from the sports field to the battlefield, and leaves us with a powerful recognition: to handle risk isn't a matter of mind over body, it's a matter of mind and body working together. We all have it in us to be transformed from dog to wolf; the only question is whether we can understand the causes and the consequences.

    Turing Mathematician Alan Turing invented an imaginary computer known as the Turing Machine; in an age before computers, he explored the concept of what it meant to be "computable," creating the field of computability theory in the process, a foundation of present-day computer programming.The book expands Turing's original 36-page paper with additional background chapters and extensive annotations; the author elaborates on and clarifies many of Turing's statements, making the original difficult-to-read document accessible to present day programmers, computer science majors, math geeks, and others.Interwoven into the narrative are the highlights of Turing's own life: his years at Cambridge and Princeton, his secret work in cryptanalysis during World War II, his involvement in seminal computer projects, his speculations about artificial intelligence, his arrest and prosecution for the crime of "gross indecency," and his early death by apparent suicide at the age of 41.

    His aim is to present calculus as the first real encounter with mathematics: it is the place to learn how logical reasoning combined with fundamental concepts can be developed into a rigorous mathematical theory rather than a bunch of tools and techniques learned by rote. Since analysis is a subject students traditionally find difficult to grasp, Spivak provides leisurely explanations, a profusion of examples, a wide range of exercises and plenty of illustrations in an easy-going approach that enlightens difficult concepts and rewards effort. Calculus will continue to be regarded as a modern classic, ideal for honours students and mathematics majors, who seek an alternative to doorstop textbooks on calculus, and the more formidable introductions to real analysis.