Suchergebnisse

Cover -- Contents -- Introduction: "Snippets of experience" -- 1 Cosmos in the Girls' Washroom -- 2 Children, We've Been Deceived! -- 3 The Secret Life of a Communal Apartment Neighbor -- 4 Tearing Away -- 5 Sasha, Misha, Napoleon and Josephine (circa 1992) -- 6 Replace the Irreplaceable! A Tale of Immigrant Objects -- 7 My Significant Others: Zenita, Susana, Ilanka -- Acknowledgments -- Index.

Part I: Introduction; 1. Chronology and Family Tree; Part II: Family Life, Ancestry and Haunting; 2. Parents; 3. Uncle Aldous; 4. Haunting; Part III: The Facts of Life; 5. Gordonstoun; 6. In the Royal Navy; 7. Oxford; 8. Love and History; Part IV: Social Anthropology: In Search of the World; 9. Anthropology and its Challenges; 10. The Ka'apor; 11. Saskatchewan; 12. Haiti Fieldwork; 13. St. Catherine's Oxford; 14. Survival International: Anthropology and Social Justice; 15. Cosmology and the Sacred; Part V: The Human Condition; 16. The Philadelphia Association; 17. The late Francis Huxley; 18. Francis Huxley and the Human Condition

AbstractThe use of surrogate weights based on rankings has been proposed as a method for avoiding difficulties associated with the elicitation of weights in multi‐attribute decision analysis. When the simple multiattribute rating technique using swings (SMARTS) method is being employed it has been suggested that rank order centroid (ROC) weights are the best surrogate weights to use. This study shows that ROC weights are appropriate to use as a substitute for original weights that are constrained to sum to a fixed total (usually 1 or 100) as used in the point allocation method. If, however, the original weights are determined without any initial restrictions, as in the direct rating method, and are then normalized, which is the common procedure in SMARTS analysis, then the ROC weights do not provide the best approximations to the original weights. This paper shows how to obtain rank order distribution (ROD) weights that provide a better approximation than the ROC approach to unrestricted original weights. The paper also shows that, as the number of attributes in a decision problem increases, the ROD weights approximate to the more easily calculated rank sum weights. Copyright © 2003 John Wiley & Sons, Ltd.