In this lively and groundbreaking new book, economist Ian Ayres shows how today's best and brightest organizations are analyzing massive databases at lightening speed to provide greater insights into human behavior. They are the Super Crunchers. From internet sites like Google and Amazon that know your tastes better than you do, to a physician's diagnosis and your child's education, to boardrooms and government agencies, this new breed of decision makers are calling the shots. And they are delivering staggeringly accurate results. How can a football coach evaluate a player without ever seeing him play? Want to know whether the price of an airline ticket will go up or down before you buy? How can a formula outpredict wine experts in determining the best vintages? Super crunchers have the answers. In this brave new world of equation versus expertise, Ayres shows us the benefits and risks, who loses and who wins, and how super crunching can be used to help, not manipulate us.Gone are the days of solely relying on intuition to make decisions. No businessperson, consumer, or student who wants to stay ahead of the curve should make another keystroke without reading Super Crunchers.

    Schmitt shows how managers can create holistic experiences for their customers through brands that provide sensory, affective, and creative associations as well as lifestyle marketing and social identity campaigns.In this masterful handbook of tools and techniques, Schmitt presents a battery of business cases to show how cutting-edge companies use "experience providers" such as visual identity, communication, product presence, Web sites, and service to create different types of customer experiences. To illustrate the essential concepts and frameworks of experiential marketing, Schmitt provides:SENSE cases on Nokia mobile phones, Hennessy cognac, and Procter & Gamble's Tide Mountain Fresh detergent;FEEL cases on Hallmark, Campbell's Soup, and Haagen Dazs Cafes in Asia, Europe, and the United States;THINK cases on Apple Computer's revival, Genesis ElderCare, and Siemens;ACT cases on Gillette's Mach3, the Milk Mustache campaign, and Martha Stewart Living;RELATE cases on Harley-Davidson, Tommy Hilfiger, and Wonderbra.Using the New Beetle and Sony as examples, Schmitt discusses the strategic and implementation intricacies of creating holistic experiences for customers. In an intriguing final chapter, he presents turn-around techniques such as "Objective: To Dream," "Send in the Iconoclasts," and "Quit the Bull," to show how traditional marketing firms can transform themselves into experience-oriented organizations.This book will forever change your perception of customers, marketing, and brands -- from Amtrak and Singapore Airlines to Herbal Essences products and Gwyneth Paltrow.

    First, it is ridiculed. Second, it is violently opposed. Third, it is accepted as self-evident." --Arthur SchopenhauerThe Ponzi Factor is the most comprehensive research ever compiled on the negative-sum nature of capital gains (non-dividend stocks). The book shows why, as a whole, ALL investors will lose money from buying and selling stocks.Most people don’t realize that profits from buying and selling stocks come from other investors who are also buying and selling stocks. When one investor buys low and sells high, another investor is also buying high and needs to sell for even higher. Companies like Google, Telsa, Facebook never pay their investors. Their investors’ profits are dependent on the inflow of money from new investors, which by definition, is how a Ponzi scheme works.This book is not for everyone. If you are a finance junkie who wants to rationalize why companies don’t have to pay their investors and believe a system that shuffles money between investor can magically create more money than people contribute, then this book is not for you. On the other hand, if you understand why we can’t create money by shuffling it with imaginary paper, and that investors invest because they want money, not value, then you will learn something you will never forget: The mechanics of how the stock market works and what really makes a stock price move.A stock without dividends is a Ponzi asset. It’s not how equity instruments were designed to work historically and not how ownership instruments are supposed to work logically. The Ponzi Factor is not a perspective or an opinion. It is a proof that is based on definition, logic, and it is supported by observable facts and history. This is not a story that will disappear after another market crash. It is an idea that will remain relevant for as long as the stock market exists.Lastly, to critics, the naysayer, and the finance junkies who think the imaginary value = cash. The author will award $20,000 to anyone who can show why non-dividend stocks DO NOT meet the definition of a Ponzi scheme. That’s $20,000 in cash, not value. (Details on this book's website. The Ponzi Factor. Proof by Definition.)

    Like its predecessors, the seventh edition includes the absolute minimum of mathematical/statistical notation necessary to teach the material. Concepts are fully explained in simple, easy-to-understand language as they are presented, making the book an excellent source from which to learn and teach. After each discussion, readers are guided through real-world examples to show how book principles work in professional practice. Includes easy-to-understand explanations of difficult statistical topics, such as sampling distributions, relationship between confidence level and confidence interval, interpreting r-square. A complete package of teaching/learning aids is provided in every chapter, including chapter review exercises, chapter concepts tests,"Statistics at Work" conceptual cases, "Computer Database Exercises," "From the Textbook to the Real-World Examples." This ISBN is in two volumes Part A and Part B.

    Numerous examples throughout provide readers with real-life applications of the concepts of analog and digital communications systems, while chapter-end questions and problems give them a chance to test and review their understanding of fundamental and key topics. Modern digital and data communications systems, microwave radio communications systems, satellite communications systems, and optical fiber communications systems. Cellular and PCS telephone systems coverage presents the latest and most innovative technological advancements being made in cellular communication systems. Optical fiber communications chapter includes new sections on light sources, optical power, optical sources and link budget. Current topics include trellis encoding, CCITT modem recommendations, PCM line speed, extended superframe format, wavelength division multiplexing, Kepler's laws, Clark orbits, limits of visibility, Satellite Radio Navigation and Navstar GPS. For the study of electronic communications systems.

    

    The book was a bystander to the tightly controlled business environment and has been an eye-witness to the post-reforms period. During these periods, the book has captures all the changes and development clearly, comprehensively and objectively. No surprise, the book has gained acceptance across the country. The present edition contains cases and two new features: 'Relook' and 'Applying Mind'. All the chapter have been recast, and new tables and boxed items have been added. ESSENTIALS OF BUSINESS ENVIRONEMNT is now richer in contents, more comprehensive in coverage and more contemporaneous in timing.

    In addition, it discusses antennas and microwave techniques at a technician level and covers data communication techniques (modems, local area networks, fiber optics, satellite communication) and advanced applications (cellular telephones, facsimile and radar). The work is suitable for courses in Communications Technology.

    This is type of problems asked at the JEE (IIT). The purpose of this book is to show students how to handle such problems and give them sufficient practice in solving problems of this type, thus building their confidence. The main features of this book are:Each chapter begins with a summary of facts, formulate and working techniques. Trick, tips and techniques have been clearly marked with the icon.A large number of problems have been solved and explained in each chapter.The exercises contain short-answer, long-answer and objective type questions.Multiple-choice questions in which more than one option may be correct have also been given.Time-bound tests at the end of each chapter will help students practise answering questions in a given time.The book also includes integrated tests, bases on all the chapters.A chapter containing miscellaneous problems has been given at the end of the book. This will help students gain confidence in solving problems without prior knowledge of the chapter(s) to which the problems belong.Table of ContentsAlgebraProgressions, Related Inequalities and SeriesDeterminants and Cramer's RuleEquations, Inequations and ExpressionsComplex NumbersPermutation and CombinationBinomial Theorem for Positive Integral IndexPrinciple of Mathematical Induction (PMI)Infinite SeriesMatricesTrigonometryCircular Functions, IdentitiesSolution of EquationsInverse Circular FunctionsTrigonometrical Inequalities and InequationsLogarithmProperties of TriangleHeights and DistancesCoordinate GeometryCoordinates and Straight LinesPairs of Straight Lines and Transformation of AxesCirclesParabolaEllipse and HyperbolaCalculusFunctionDifferentiationLimit, Indeterminate FormContinuity, Differentiability and Graph of FunctionApplication of dy/dxMaxima and MinimaMonotonic Function and Lagrange's TheoremIndefinite In

    

    

    

    It emphasizes forms suitable for students and researchers whose interest lies in solving equations rather than in general theory. Solutions to odd-numbered problems appear at the end. 1957 edition.

    Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, intuitive visual representations of real-world examples are used to show how Bayes' rule is actually a form of commonsense reasoning. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to gain an intuitive understanding of Bayesian analysis. As an aid to understanding, online computer code (in MatLab, Python and R) reproduces key numerical results and diagrams.Stone's book is renowned for its visually engaging style of presentation, which stems from teaching Bayes' rule to psychology students for over 10 years as a university lecturer.

    There are equally many advanced textbooks which delve into the far reaches of statistical theory, while bypassing practical applications. But between these two approaches is an unfilled gap, in which theory and practice merge at an intermediate level. Professor M. G. Bulmer's Principles of Statistics, originally published in 1965, was created to fill that need. The new, corrected Dover edition of Principles of Statistics makes this invaluable mid-level text available once again for the classroom or for self-study.Principles of Statistics was created primarily for the student of natural sciences, the social scientist, the undergraduate mathematics student, or anyone familiar with the basics of mathematical language. It assumes no previous knowledge of statistics or probability; nor is extensive mathematical knowledge necessary beyond a familiarity with the fundamentals of differential and integral calculus. (The calculus is used primarily for ease of notation; skill in the techniques of integration is not necessary in order to understand the text.)Professor Bulmer devotes the first chapters to a concise, admirably clear description of basic terminology and fundamental statistical theory: abstract concepts of probability and their applications in dice games, Mendelian heredity, etc.; definitions and examples of discrete and continuous random variables; multivariate distributions and the descriptive tools used to delineate them; expected values; etc. The book then moves quickly to more advanced levels, as Professor Bulmer describes important distributions (binomial, Poisson, exponential, normal, etc.), tests of significance, statistical inference, point estimation, regression, and correlation. Dozens of exercises and problems appear at the end of various chapters, with answers provided at the back of the book. Also included are a number of statistical tables and selected references.