Dictionary Catalog of the Arthur B. Spingarn Collection of Negro Authors PDF Download

Author: Howard University. Libraries
Publisher:
ISBN:
Category : African Americans
Languages : en
Pages : 810

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Author:
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ISBN:
Category : Medicine
Languages : en
Pages : 870

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Author:
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ISBN:
Category : African American college students
Languages : en
Pages : 300

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Author: Richard Stutely
Publisher: Financial Times/Prentice Hall
ISBN:
Category : Business & Economics
Languages : en
Pages : 440

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Stutely explains how the CFO thinks (and how to deal with financial executives); then demonstrates how any manager can use those numbers for better analysis and decision-making.

Author: Shane Parrish
Publisher: Penguin
ISBN: 0593719972
Category : Business & Economics
Languages : en
Pages : 209

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Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.

Author: International Association for the Study of Insurance Economics
Publisher: Amsterdam ; New York : North-Holland Publishing Company ; New York, N.Y. : Sole distributors for the U.S.A. and Canada, Elsevier Science Publishing Company
ISBN:
Category : Business & Economics
Languages : en
Pages : 338

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Conference report on the measurement of the value of human life and safety for insurance purposes - discusses theories and evaluation methodology, with particular reference to willingness-to-pay and its relationship with human capital, life insurance, annuity expenditure, financial risk-aversion, wage differential and other factors in organizational and individual decision making. Graphs and references. List of participants. Conference held in Geneva 1981 Mar 30 to Apr 1.

Author:
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Category : Lumber trade
Languages : en
Pages : 442

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Author: Runhuan Feng
Publisher: CRC Press
ISBN: 1351647725
Category : Business & Economics
Languages : en
Pages : 334

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The quantitative modeling of complex systems of interacting risks is a fairly recent development in the financial and insurance industries. Over the past decades, there has been tremendous innovation and development in the actuarial field. In addition to undertaking mortality and longevity risks in traditional life and annuity products, insurers face unprecedented financial risks since the introduction of equity-linking insurance in 1960s. As the industry moves into the new territory of managing many intertwined financial and insurance risks, non-traditional problems and challenges arise, presenting great opportunities for technology development. Today's computational power and technology make it possible for the life insurance industry to develop highly sophisticated models, which were impossible just a decade ago. Nonetheless, as more industrial practices and regulations move towards dependence on stochastic models, the demand for computational power continues to grow. While the industry continues to rely heavily on hardware innovations, trying to make brute force methods faster and more palatable, we are approaching a crossroads about how to proceed. An Introduction to Computational Risk Management of Equity-Linked Insurance provides a resource for students and entry-level professionals to understand the fundamentals of industrial modeling practice, but also to give a glimpse of software methodologies for modeling and computational efficiency. Features Provides a comprehensive and self-contained introduction to quantitative risk management of equity-linked insurance with exercises and programming samples Includes a collection of mathematical formulations of risk management problems presenting opportunities and challenges to applied mathematicians Summarizes state-of-arts computational techniques for risk management professionals Bridges the gap between the latest developments in finance and actuarial literature and the practice of risk management for investment-combined life insurance Gives a comprehensive review of both Monte Carlo simulation methods and non-simulation numerical methods Runhuan Feng is an Associate Professor of Mathematics and the Director of Actuarial Science at the University of Illinois at Urbana-Champaign. He is a Fellow of the Society of Actuaries and a Chartered Enterprise Risk Analyst. He is a Helen Corley Petit Professorial Scholar and the State Farm Companies Foundation Scholar in Actuarial Science. Runhuan received a Ph.D. degree in Actuarial Science from the University of Waterloo, Canada. Prior to joining Illinois, he held a tenure-track position at the University of Wisconsin-Milwaukee, where he was named a Research Fellow. Runhuan received numerous grants and research contracts from the Actuarial Foundation and the Society of Actuaries in the past. He has published a series of papers on top-tier actuarial and applied probability journals on stochastic analytic approaches in risk theory and quantitative risk management of equity-linked insurance. Over the recent years, he has dedicated his efforts to developing computational methods for managing market innovations in areas of investment combined insurance and retirement planning.

Author: Tobias E. Carlisle
Publisher:
ISBN: 9780692928851
Category : Business & Economics
Languages : en
Pages : 160

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The Acquirer's Multiple: How the Billionaire Contrarians of Deep Value Beat the Market is an easy-to-read account of deep value investing. The book shows how investors Warren Buffett, Carl Icahn, David Einhorn and Dan Loeb got started and how they do it. Carlisle combines engaging stories with research and data to show how you can do it too. Written by an active value investor, The Acquirer's Multiple provides an insider's view on deep value investing.The Acquirer's Multiple covers: How the billionaire contrarians invest How Warren Buffett got started The history of activist hedge funds How to Beat the Little Book That Beats the Market A simple way to value stocks: The Acquirer's Multiple The secret to beating the market How Carl Icahn got started How David Einhorn and Dan Loeb got started The 9 rules of deep value The Acquirer's Multiple: How the Billionaire Contrarians of Deep Value Beat the Market provides a simple summary of the way deep value investors find stocks that beat the market.

Author: Nancy G. Leveson
Publisher: MIT Press
ISBN: 0262297302
Category : Science
Languages : en
Pages : 555

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A new approach to safety, based on systems thinking, that is more effective, less costly, and easier to use than current techniques. Engineering has experienced a technological revolution, but the basic engineering techniques applied in safety and reliability engineering, created in a simpler, analog world, have changed very little over the years. In this groundbreaking book, Nancy Leveson proposes a new approach to safety—more suited to today's complex, sociotechnical, software-intensive world—based on modern systems thinking and systems theory. Revisiting and updating ideas pioneered by 1950s aerospace engineers in their System Safety concept, and testing her new model extensively on real-world examples, Leveson has created a new approach to safety that is more effective, less expensive, and easier to use than current techniques. Arguing that traditional models of causality are inadequate, Leveson presents a new, extended model of causation (Systems-Theoretic Accident Model and Processes, or STAMP), then shows how the new model can be used to create techniques for system safety engineering, including accident analysis, hazard analysis, system design, safety in operations, and management of safety-critical systems. She applies the new techniques to real-world events including the friendly-fire loss of a U.S. Blackhawk helicopter in the first Gulf War; the Vioxx recall; the U.S. Navy SUBSAFE program; and the bacterial contamination of a public water supply in a Canadian town. Leveson's approach is relevant even beyond safety engineering, offering techniques for “reengineering” any large sociotechnical system to improve safety and manage risk.