With the stock market sinking and soaring from day to day, retirement plans becoming less certain, and a longer life expectancy in retirement, more people are looking for some control over their investments. If you're one of them, Investing Online For Dummies, 6th Edition might be just what you're looking for. The Internet brings a world of investment resources to your desktop, but how do you find your way through the dizzying array of investment possibilities? The Dummies Way, of course! This book helps you set reasonable expectations, assess your risk tolerance, choose an asset allocation, analyze and select investments, and maximize your financial success. You'll discover how toDetermine how much you can afford to invest Choose an online broker Research, trade, and track investments online Measure the potential return of a stock Maximize your investment knowledge and build a profitable portfolio Buy bonds online Understand options, commodities, and IPOs If you've decided to take control of your investments but don't want to make it your full-time job, Investing Online For Dummies, 6th Edition gives you the important information that will also give you confidence. Completely updated to cover all the new online tools and resources, it even provides some bonus assistance on the companion Web site.

    A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency. The focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. The text contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance, and economics.

    To reach this unique audience, Whitlock and Schluter motivate learning with interesting biological and medical examples; they emphasize intuitive understanding; and they focus on real data. The book covers basic topics in introductory statistics, including graphs, confidence intervals, hypothesis testing, comparison of means, regression, and designing experiments. It also introduces the principles behind such modern topics as likelihood, linear models, meta-analysis and computer-intensive methods. Instructors and students consistently praise the book's clear and engaging writing, strong visualization techniques, and its variety of fascinating and relevant biological examples.

    This text provides a simple and straightforward introduction to econometrics for the beginner. The book is designed to help students understand econometric techniques through extensive examples, careful explanations, and a wide variety of problem material. In each of the editions, I have tried to incorporate major developments in the field in an intuitive and informative way without resort to matrix algebra, calculus, or statistics beyond the introductory level. The fourth edition continues that tradition.

    Over the years their textbooks have introduced significant theoretical and pedagogical innovations in statics, dynamics, and mechanics of materials education. At the same time, their careful presentation of content, unmatched levels of accuracy, and attention to detail have made their texts the standard for excellence. The new Seventh Edition of Vector Mechanics for Engineers: Statics and Dynamics continues this tradition. The seventh edition is complemented by a media and supplement package that is targeted to address core course needs for both the student and the instructor.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    The Seventh Edition has been carefully updated and revised, adding a wealth of new applications and examples that analyze the important lessons offered by eBay, Google, Verizon, IBM, Microsoft, Bank of America, drug companies, the Yellow Pages, and more.

    The book's patient explanations are written in an informal, non-intimidating style. To underscore the relevance of mathematics to economics, the author allows the economist's analytical needs to motivate the study of related mathematical techniques; he then illustrates these techniques with appropriate economics models. Graphic illustrations often visually reinforce algebraic results. Many exercise problems serve as drills and help bolster student confidence. These major types of economic analysis are covered: statics, comparative statics, optimization problems, dynamics, and mathematical programming. These mathematical methods are introduced: matrix algebra, differential and integral calculus, differential equations, difference equations, and convex sets.

    This comprehensive, market-leading text emphasizes the three major driving forces behind e-commerce: technology change, business development, and social controversies. Each of these driving forces is represented in every chapter, and together they provide a coherent conceptual framework for understanding e-commerce, typical of Laudon books. The book offers in-depth and comprehensive coverage of concepts in marketing, economics, IS/IT, privacy and intellectual property. The book contains numerous case studies and an additional case book is available.

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

    This book synthesizes these recent advances and makes them accessible to first-year graduate students. James Hamilton provides the first adequate text-book treatments of important innovations such as vector autoregressions, generalized method of moments, the economic and statistical consequences of unit roots, time-varying variances, and nonlinear time series models. In addition, he presents basic tools for analyzing dynamic systems (including linear representations, autocovariance generating functions, spectral analysis, and the Kalman filter) in a way that integrates economic theory with the practical difficulties of analyzing and interpreting real-world data. Time Series Analysis fills an important need for a textbook that integrates economic theory, econometrics, and new results.The book is intended to provide students and researchers with a self-contained survey of time series analysis. It starts from first principles and should be readily accessible to any beginning graduate student, while it is also intended to serve as a reference book for researchers.-- "Journal of Economics"

    Concepts and techniques included in the chapters and problem sets are used in many careers related to real estate. The material in this edition is also relevant to individuals who want to better understand real estate for their own personal investment and financing decisions.The Fourteenth Edition is designed to help students learn how to evaluate the risk and return associated with the various ways of investing and lending. Upcoming students who are interested in this field can use this book as a guide to perform the right kind of analysis to make informed real estate finance and investment decisions.

    For over a decade,the authors have studied the world’s successful traders. Based on their learnings, they started practicing it and are now part of the 5%. Trade and Grow Rich teaches not just concepts but also methods with the help of anecdotes. This book has to be read one chapter at a time, rather than just being a one-time read. If you want to enjoy an adventurous journey to become a successful trader, then this is the book you are looking for!

    Robert Gibbons addresses scholars in applied fields within economics who want a serious and thorough discussion of game theory but who may have found other works overly abstract. Gibbons emphasizes the economic applications of the theory at least as much as the pure theory itself; formal arguments about abstract games play a minor role. The applications illustrate the process of model building--of translating an informal description of a multi-person decision situation into a formal game-theoretic problem to be analyzed. Also, the variety of applications shows that similar issues arise in different areas of economics, and that the same game-theoretic tools can be applied in each setting. In order to emphasize the broad potential scope of the theory, conventional applications from industrial organization have been largely replaced by applications from labor, macro, and other applied fields in economics. The book covers four classes of games, and four corresponding notions of equilibrium: static games of complete information and Nash equilibrium, dynamic games of complete information and subgame-perfect Nash equilibrium, static games of incomplete information and Bayesian Nash equilibrium, and dynamic games of incomplete information and perfect Bayesian equilibrium.

    This book focuses on three qualities: relevance, balance and clarity.