Reviewed are fundamental statistical concepts--such as correlation, regressions, data preparation and screening, path analysis, and confirmatory factor analysis--as well as more advanced methods, including the evaluation of nonlinear effects, measurement models and structural regression models, latent growth models, and multilevel SEM. The companion Web page offers data and program syntax files for many of the research examples, electronic overheads that can be downloaded and printed by instructors or students, and links to SEM-related resources.

    Drawing on their hugely popular BBC Radio 4 show More or Less,, journalist Michael Blastland and internationally known economist Andrew Dilnot delight, amuse, and convert American mathphobes by showing how our everyday experiences make sense of numbers. The radical premise of The Numbers Game is to show how much we already know, and give practical ways to use our knowledge to become cannier consumers of the media. In each concise chapter, the authors take on a different theme—such as size, chance, averages, targets, risk, measurement, and data—and present it as a memorable and entertaining story. If you’ve ever wondered what “average” really means, whether the scare stories about cancer risk should convince you to change your behavior, or whether a story you read in the paper is biased (and how), you need this book. Blastland and Dilnot show how to survive and thrive on the torrent of numbers that pours through everyday life. It’s the essential guide to every cause you love or hate, and every issue you follow, in the language everyone uses.

    MEET YOUR GOALS—ON TIME AND ON BUDGET.How do you rein in the scope of your project when you’ve got a group of demanding stakeholders breathing down your neck? And map out a schedule everyone can stick to? And motivate team members who have competing demands on their time and attention?Whether you’re managing your first project or just tired of improvising, this guide will give you the tools and confidence you need to define smart goals, meet them, and capture lessons learned so future projects go even more smoothly.The HBR Guide to Project Management will help you:• Build a strong, focused team• Break major objectives into manageable tasks• Create a schedule that keeps all the moving parts under control• Monitor progress toward your goals• Manage stakeholders’ expectations• Wrap up your project and gauge its success

    Each chapter contains integrated worked examples and chapter tests. This edition has the ancillary ATLAST computer exercise guide and new MATLAB and Maple guides.

    The book identified a major opportunity for entrepreneurs and innovators, managers and marketers, in every category of consumer goods and services. Now Michael Silverstein and Neil Fiske have thoroughly revised this BusinessWeek bestseller with new research and new insights into the still- growing phenomenon of trading up.

    With it you can prime yourself with the key concepts of statistics before getting involved in the associated calculations. Using words and diagrams instead of figures, formulae and equations, Derek Rowntree makes statistics accessible to those who are non-mathematicians. And just to get you into the spirit of things. Rowntree has included questions in his argument; answer them as you go and you will be able to tell how far you have mastered the subject.

    The book combines engaging anecdotes with industry research to illustrate the principles and methods of this complex strategy, and explains the reasoning behind seemingly incomprehensible activist maneuvers. Written by an active value investor, Deep Value provides an insider's perspective on shareholder activist strategies in a format accessible to both professional investors and laypeople. The Deep Value investment philosophy as described by Graham initially identified targets by their discount to liquidation value. This approach was extremely effective, but those opportunities are few and far between in the modern market, forcing activists to adapt. Current activists assess value from a much broader palate, and exploit a much wider range of tools to achieve their goals. Deep Value enumerates and expands upon the resources and strategies available to value investors today, and describes how the economic climate is allowing value investing to re-emerge. Topics include: Target identification, and determining the most advantageous ends Strategies and tactics of effective activism Unseating management and fomenting change Eyeing conditions for the next M&A boom Activist hedge funds have been quiet since the early 2000s, but economic conditions, shareholder sentiment, and available opportunities are creating a fertile environment for another golden age of activism. Deep Value: Why Activist Investors and Other Contrarians Battle for Control of Losing Corporations provides the in-depth information investors need to get up to speed before getting left behind.

    Offering inspiration and intellectual delight, the problems throughout the book encourage students to express their ideas in writing to explain how they conceive problems, what conjectures they make, and what conclusions they reach. Applying specific techniques and strategies, readers will acquire a solid understanding of the fundamental concepts and ideas of number theory.

    Ernest Chan, a respected independent trader and consultant, will show you how. Whether you're an independent retail trader looking to start your own quantitative trading business or an individual who aspires to work as a quantitative trader at a major financial institution, this practical guide contains the information you need to succeed.

    If you start with just a single penny and double it every day for 31 days, you end up with … $21,474,836.48. More than 21 million dollars in a single month! This is an example of the power of investment. Over the long-term, stock market is by far the best investment you can make. But there are many pitfalls for the unwary investor.  Help has arrived! A new book, Stock Market Investment Starter Guide: Step-by-Step Guide to Invest in Stock Market for Absolute Beginners, gives you the foundation you need to be successful but without common jargons that is everywhere. Using clear, straightforward language, Stock Market Investment Starter Guide breaks down the complexities of stock investment into easy-to-understand steps that anyone can follow. You’ll learn: How to invest in stocks, not gamble on them The 3 basic trading styles How to choose a broker, and read a stock chart When to buy, and when to sell Most important investing patterns to look for The 7 investing mistakes you must avoid And much, much more! There’s no reason to fear the stock market. You CAN make good money and safeguard your future with sensible strategy and planning. Grab a copy of Stock Market Investment Starter Guide today, and get started trading--the right way!

    His Incompleteness Theorem turned not only mathematics but also the whole world of science and philosophy on its head. Equally legendary were Gö's eccentricities, his close friendship with Albert Einstein, and his paranoid fear of germs that eventually led to his death from self-starvation. Now, in the first popular biography of this strange and brilliant thinker, John Casti and Werner DePauli bring the legend to life. After describing his childhood in the Moravian capital of Brno, the authors trace the arc of Gö's remarkable career, from the famed Vienna Circle, where philosophers and scientists debated notions of truth, to the Institute for Advanced Study in Princeton, New Jersey, where he lived and worked until his death in 1978. In the process, they shed light on Gö's contributions to mathematics, philosophy, computer science, artificial intelligence -- even cosmology -- in an entertaining and accessible way.

    Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    He had discovered that when you simplify your investment decisions, you end up getting better returns. As a bonus, you gain more time for family, friends, and other pursuits.The Coffeehouse Investor explains why we should stop thinking about top-rated stocks and mutual funds, shifts in interest rates, and predictions for the economy. Stop trying to beat the stock market average, which few “experts” ever do. Instead, just remember three simple principles: Don’t put all your eggs in one basket. There’s no such thing as a free lunch. And save for a rainy day.By focusing more on your passions and creativity and less on the daily ups and downs, you will actually build more wealth—and improve the quality of your life at the same time.

    With this book, you'll learn how to load data, assemble and disassemble data objects, navigate R's environment system, write your own functions, and use all of R's programming tools.RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You'll gain valuable programming skills and support your work as a data scientist at the same time.Work hands-on with three practical data analysis projects based on casino gamesStore, retrieve, and change data values in your computer's memoryWrite programs and simulations that outperform those written by typical R usersUse R programming tools such as if else statements, for loops, and S3 classesLearn how to write lightning-fast vectorized R codeTake advantage of R's package system and debugging toolsPractice and apply R programming concepts as you learn them

    Verification that algorithms work is emphasized more than their complexity. An effective use of examples, and huge number of interesting exercises, demonstrate the topics of trees and distance, matchings and factors, connectivity and paths, graph coloring, edges and cycles, and planar graphs. For those who need to learn to make coherent arguments in the fields of mathematics and computer science.