D. Hawkins – författare
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4 produkter
4 produkter
Corporate Social Responsibility
Balancing Tomorrow's Sustainability and Today's Profitability
Inbunden, Engelska, 2006
553 kr
Skickas inom 10-15 vardagar
Many companies recognize the importance of corporate social responsibility, but seek to understand how this can be harmonized with current profitability. This new approach draws upon many contemporary examples to show how to balance short term profitability with long term sustainability.
Corporate Social Responsibility
Balancing Tomorrow's Sustainability and Today's Profitability
Häftad, Engelska, 2006
553 kr
Skickas inom 10-15 vardagar
Many companies recognize the importance of corporate social responsibility, but seek to understand how this can be harmonized with current profitability. This new approach draws upon many contemporary examples to show how to balance short term profitability with long term sustainability.
554 kr
Skickas inom 10-15 vardagar
Our pocket-book has come about as a direct attempt to answer the needs of our clinical students. We have tried to use radiology as a magic window for looking at their patients' medical and surgical problems. The book is very simple and highly selective. A number of excellent introductory texts already exist for students seeking comprehensive and balanced accounts of radiology as a specialty. We have tried to keep close to our title: a good guide shows you a bare outline of where you might go, and makes sure you see the highlights. He will point to interesting places that deserve study, without going into them himself. Occasionally he may enlarge on a topic when the information is not readily available anywhere else (as in our chapter on the skull). And he will be ready to listen to students asking, perhaps rather shyly, some basic questions (as in our first and last chapters). We have taken Voltaire as our own guide: "Le secret d'ennuyer est . . . de tout dire". The book has been written by only a small group of all those teaching radiology at Cambridge. We wish to absolve our colleagues from all blame, and to thank them for generous support, especially in the loan of illustrations. Cambridge, 1982 Thomas Sherwood Contents 1. Introduction: Medicine and Radiology Thomas Sherwood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 2. Diagnosis Thomas Sherwood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 Looking at an x-ray. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Diagnostic pathways . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Sensitivity and specificity of tests . . . . . . . . . . . . . . . . . . . . . 14 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 3. Bones Thomas Sherwood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1 172 kr
Skickas inom 10-15 vardagar
The problem of outliers is one of the oldest in statistics, and during the last century and a half interest in it has waxed and waned several times. Currently it is once again an active research area after some years of relative neglect, and recent work has solved a number of old problems in outlier theory, and identified new ones. The major results are, however, scattered amongst many journal articles, and for some time there has been a clear need to bring them together in one place. That was the original intention of this monograph: but during execution it became clear that the existing theory of outliers was deficient in several areas, and so the monograph also contains a number of new results and conjectures. In view of the enormous volume ofliterature on the outlier problem and its cousins, no attempt has been made to make the coverage exhaustive. The material is concerned almost entirely with the use of outlier tests that are known (or may reasonably be expected) to be optimal in some way. Such topics as robust estimation are largely ignored, being covered more adequately in other sources. The numerous ad hoc statistics proposed in the early work on the grounds of intuitive appeal or computational simplicity also are not discussed in any detail.