Author: D. W. Edington
Publisher: UM-HMRC
ISBN: 9780615280196
Category : Business & Economics
Languages : en
Pages : 196
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Book Description
Today's fragile economic climate requires new solutions to the problem of high healthcare costs. Organizations simply cannot afford runaway medical expenses, unproductive workplaces, and sick workers. In this landmark book, Dee W. Edington, PhD, former Director of the University of Michigan Health Management Research Center, draws from his 30 years of research and experience to explain how organizations can control health management and disability expenditures while keeping their workforces healthy and productive. Dr. Edington's message is straightforward, yet profound. His three key strategies, "Don't Get Worse," "Keep Healthy Employees Healthy," and "Create a Culture of Health," can help reduce the healthcare and productivity-related costs that are bankrupting American businesses. Zero Trends: Health as a Serious Economic Strategy provides the guidance and the inspiration organizations need in their search for lower medical expenditures and higher-performing workplaces.
Author: S. Singh
Publisher: Springer
ISBN: 1137008091
Category : Business & Economics
Languages : en
Pages : 256
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Book Description
YOUR GUIDE TO A FULFILLING BUSINESS AND PERSONAL FUTURE Based on research by one of the world's largest growth-consulting companies, New Mega Trends identifies the ten most important global trends that will define our future, including business models, smart technology, connectivity and convergence and radical social trends. New Mega Trends will give you the tools to not only identify and evaluate these game-changing trends, but also help you to translate them into market opportunities for your everyday business and personal life. How will we travel to work in the cities of the future? Will Zero be the new big thing? How will we stay connected in the Mega Trends World? Will our Wellness and Well-Being top business agenda? If you are a leader with a corporate vision, or a strategic planner within your organization, or just plain curious about your future, New Mega Trends will provide you with stimulating stories, startling facts and thought-provoking case studies that will not only inform your future but entertain you today.
Author: National Acid Precipitation Assessment Program (U.S.)
Publisher:
ISBN:
Category : Acid deposition
Languages : en
Pages : 144
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Book Description
Author: Curtis H. Flather
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 88
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Book Description
Author: Sunpreet Singh
Publisher: Elsevier
ISBN: 0323854044
Category : Technology & Engineering
Languages : en
Pages : 418
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Book Description
Approx.398 pagesApprox.398 pages
Author: Albert Green
Publisher:
ISBN:
Category : Alligators
Languages : en
Pages : 508
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Book Description
Author:
Publisher:
ISBN:
Category : Labor laws and legislation
Languages : en
Pages : 388
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Book Description
Publishes in-depth articles on labor subjects, current labor statistics, information about current labor contracts, and book reviews.
Author: Bruce Ratner
Publisher: CRC Press
ISBN: 149879761X
Category : Computers
Languages : en
Pages : 690
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Book Description
Interest in predictive analytics of big data has grown exponentially in the four years since the publication of Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition. In the third edition of this bestseller, the author has completely revised, reorganized, and repositioned the original chapters and produced 13 new chapters of creative and useful machine-learning data mining techniques. In sum, the 43 chapters of simple yet insightful quantitative techniques make this book unique in the field of data mining literature. What is new in the Third Edition: The current chapters have been completely rewritten. The core content has been extended with strategies and methods for problems drawn from the top predictive analytics conference and statistical modeling workshops. Adds thirteen new chapters including coverage of data science and its rise, market share estimation, share of wallet modeling without survey data, latent market segmentation, statistical regression modeling that deals with incomplete data, decile analysis assessment in terms of the predictive power of the data, and a user-friendly version of text mining, not requiring an advanced background in natural language processing (NLP). Includes SAS subroutines which can be easily converted to other languages. As in the previous edition, this book offers detailed background, discussion, and illustration of specific methods for solving the most commonly experienced problems in predictive modeling and analysis of big data. The author addresses each methodology and assigns its application to a specific type of problem. To better ground readers, the book provides an in-depth discussion of the basic methodologies of predictive modeling and analysis. While this type of overview has been attempted before, this approach offers a truly nitty-gritty, step-by-step method that both tyros and experts in the field can enjoy playing with.
Author: Gudmund J.W. Smith
Publisher: Springer Science & Business Media
ISBN: 1475734301
Category : Psychology
Languages : en
Pages : 144
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Book Description
Some Implications of the Perceptgenetic Studies We should be most grateful to Professor Gudmund Smith for this compilation of studies on perceptgenesis (PG). Smith and his colleagues at Lund University are part of a small insurgency in psychology that has worked gamely and in relative obscurity to document the presence of subjective phases in the process leading to a perceptual object and the infrastructure of this process in the person ality. Smith describes ingenious methods to probe this hidden undersurface, and of a perceptual object is, in the ordinary demonstrate that the experiential content an object sense, pre-perceptual. That is, the feeling, meaning and recognition of are not attached to things out there in the world after they are perceived, but are phases ingredient in the process through which the perception occurs. To most psychologists, this statement would appear so radical as to be hardly worth refuting. A subjective approach to perception undermines the realism, consensual validation, and objectivity of a descriptive science of the mind. It is much simpler to interpret the 'psychic contribution' to object perception as an addition to physical nature. However, the idea that objects are assemblies of sensory bits linked to feeling and meaning, associated to memories for recognition and interpretation and then projected back into the world where we see them, though at first blush appealing to common sense, is so implausible that one is mystified by its universal acceptance.
Author: John D. Levendis
Publisher: Springer Nature
ISBN: 3031373103
Category : Business & Economics
Languages : en
Pages : 493
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Book Description
Revised and updated for the second edition, this textbook allows students to work through classic texts in economics and finance, using the original data and replicating their results. In this book, the author rejects the theorem-proof approach as much as possible, and emphasizes the practical application of econometrics. They show with examples how to calculate and interpret the numerical results. This book begins with students estimating simple univariate models, in a step by step fashion, using the popular Stata software system. Students then test for stationarity, while replicating the actual results from hugely influential papers such as those by Granger & Newbold, and Nelson & Plosser. Readers will learn about structural breaks by replicating papers by Perron, and Zivot & Andrews. They then turn to models of conditional volatility, replicating papers by Bollerslev. Students estimate multi-equation models such as vector autoregressions and vector error-correction mechanisms, replicating the results in influential papers by Sims and Granger. Finally, students estimate static and dynamic panel data models, replicating papers by Thompson, and Arellano & Bond. The book contains many worked-out examples, and many data-driven exercises. While intended primarily for graduate students and advanced undergraduates, practitioners will also find the book useful. “How to best start learning time series econometrics? Learning by doing. This is the ethos of this book. What makes this book useful is that it provides numerous worked out examples along with basic concepts. It is a fresh, no-nonsense, practical approach that students will love when they start learning time series econometrics. I recommend this book strongly as a study guide for students who look for hands-on learning experience." --Professor Sokbae "Simon" Lee, Columbia University, Co-Editor of Econometric Theory and Associate Editor of Econometrics Journal.
