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Sperling, M. B., & Berman, W. H. (1991). An attachment classification of desperate love. Journal of Personality Assessment, 56, 45 55. Torrey, E. F. (1992). Freudian fraud. New York: HarperCollins. Turkat, I. D. (1990). The personality disorders: A psychological approach to clinical management. New York: Pergamon Press. Vaillant, G. E. (1994). Ego mechanisms of defense and personality pathology. Journal of Abnormal Psychology, 103, 44 50. Weiner, I. B. (2000). Making Rorschach interpretation as good as it can be. Journal of Personality Assessment, 74, 164 174. Westen, D. (1991). Social cognition and object relations. Psychological Bulletin, 109, 429 455. Westen, D., Ludolph, P., Lerner, H., Ruffins, S., & Wiss, C. (1990). Object relations in borderline adolescents. Journal of the American Academy of Child and Adolescent Psychiatry, 29, 338 348. Westen, D., & Shedler, J. (1999). Revising and assessing Axis II: Toward an empirically based and clinically useful classification of personality disorders. American Journal of Psychiatry, 156, 273 285. Widiger, T. A. (2000). Personality disorders in the 21st century. Journal of Personality Disorders, 14, 3 16. Widiger, T. A., & Clark, L. A. (2000). Toward DSM-V and the classification of psychopathology. Psychological Bulletin, 126, 946 963. Williams, L. M. (1995). Recovered memories of abuse in women with documented child sexual victimization histories. Journal of Traumatic Stress, 8, 649 673. Zanarini, M. C., Frankenburg, F. R., Reich, D., Marino, M. F., Lewis, R. E., Williams, A. A., et al. (2000). Biparental failure in the childhood experiences of borderline patients. Journal of Personality Disorders, 14, 264 273.

Since transactions changes are re ected in the database immediately, if a transaction decides to abort, its changes have to be undone and the action has to be recorded by the LRM in the log Obviously, this class corresponds to what we called recovery from a power failure for the immediate update strategy in Section 8422 Class 4 Recovery: No-Redo/No-Undo This approach writes changes for a transaction to the database at the commit point and therefore requires no-redo when a transaction actually commits The approach does not require undo since changes are not written to the database if the transaction aborts Again, comparing this to what we discussed in Section 8422, we realize that the approach corresponds to what we called recovery from a power failure for the deferred update strategy..

Horse race with probability estimates. (a) Three horses race. Their probabilities of winning are ( 1 , 1 , 1 ). 2 4 4 The odds are 4-for-1, 3-for-1, and 3-for-1. Let W be the optimal doubling rate. Suppose you believe that the probabilities are ( 1 , 1 , 1 ). If you try to maximize the doubling rate, what 4 2 4 doubling rate W will you achieve By how much has your doubling rate decrease due to your poor estimate of the probabilities (i.e., what is W = W W ) (b) Now let the horse race be among m horses, with probabilities p = (p1 , p2 , . . . , pm ) and odds o = (o1 , o2 , . . . , om ). If you believe the true probabilities to be q = (q1 , q2 , . . . , qm ), and try to maximize the doubling rate W , what is W W Two-envelope problem. One envelope contains b dollars, the other 2b dollars. The amount b is unknown. An envelope is selected at random. Let X be the amount observed in this envelope, and let Y be the amount in the other envelope. Adopt the strategy of switching to the other envelope with probability p(x), where p(x) = e x . Let Z be the amount that the player receives. Thus, (e x +ex ) (X, Y ) = Z= (b, 2b) with probability (2b, b) with probability

The methods for creating a budget have thus far been somewhat simplistic However, many hospitality operations use more advanced, quantitatively oriented forecasting techniques, both in budgeting and where other forecasts are required The ability to accurately forecast is an important aspect of any operation s management Reliable methods are necessary to help operating department heads forecast sales and plan for the use of resources (for example, labor and supplies to meet anticipated demand) Two of the more commonly used techniques are moving averages and regression analysis Moving averages is sometimes referred to as time-series methods, because it looks at the numbers for a series of past periods to see what patterns and/or relationships may be occurring Regression analysis is an attempt to find a relation between one event and another The number of periods used depends on the forecast you are creating.