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It would be useful computationally to have upper and lower bounds converging to the limit from above and below. We can halt the computation when the difference between upper and lower bounds is small, and we will then have a good estimate of the limit. We already know that H (Yn |Yn 1 , . . . , Y1 ) converges monotonically to H (Y) from above. For a lower bound, we will use H (Yn |Yn 1 , . . . , Y1 , X1 ). This is a neat trick based on the idea that X1 contains as much information about Yn as Y1 , Y0 , Y 1 , . . . . Lemma 4.5.1 H (Yn |Yn 1 , . . . , Y2 , X1 ) H (Y). Proof: We have for k = 1, 2, . . . , ( a) H (Yn |Yn 1 , . . . , Y2 , X1 ) = H (Yn |Yn 1 , . . . , Y2 , Y1 , X1 )

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You may not always want a subscription form all by itself. Often, it is much easier to have the user check a box on the comment form and have the subscription processed automatically. Before you can do this, you must have run the Integrate step within the Install menu described earlier in this chapter. Luckily, making this work is very simple indeed. Just add the following code to your comment form, or something very much like it (make sure you keep the name subscribe ):

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problems (Bandura, 1986; Kobasa, 1982). Finally, environmental stressors such as poverty, violence, and other social ills contribute to poor physical and mental health and similarly need to be addressed at policy, preventative, and intervention levels. Stress management has been found to help people experiencing many physical and mental health problems including cancer, heart disease, diabetes, AIDS, and chronic pain. Social support has also been found to help in the treatment of stress-related problems (S. Cohen, 1988; S. Taylor, 2003) as well as numerous medical problems. For example, social support and stress management strategies provided in group therapy have been found to assist in helping cancer patients live longer (Spiegal, 1989). Stress management techniques such as relaxation training, meditation, biofeedback, diaphragmatic breathing, stress inoculation training, psychotherapy, visual imagery, and other approaches have been found useful in reducing stress (Scheufele, 2000; S. Taylor, 2003).

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Tetlock, P. E. (1985). Integrative complexity of American and Soviet foreign policy rhetoric: A time-series analysis. Journal of Personality and Social Psychology, 49, 1565 1585. Tomkins, S. S. (1963). Left and right: A basic dimension of ideology and personality. In R. W. White (Ed.), The study of lives (pp. 388 411). New York: Atherton Press. Walker, S. G. (1990). The evolution of operational code analysis. Political Psychology, 11, 403 418. Walker, S. G. (2000). Assessing psychological characteristics at a distance: Symposium lessons and future research directions. Political Psychology, 21, 597 602. Wallas, G. (1908). Human nature in politics. London: Archibald Constable. (Reprinted 1981 by Transaction Books, New Brunswick, NJ) Winter, D. G. (1973). The power motive. New York: Free Press. Winter, D. G. (1987). Leader appeal, leader performance, and the motive pro les of leaders and followers: A study of American presidents and elections. Journal of Personality and Social Psychology, 52, 196 202. Winter, D. G. (1991). Measuring personality at a distance: Development of an integrated system for scoring motives in running text. In A. J. Stewart, J. M. Healy, Jr., & D. J. Ozer (Eds.), Perspectives in personality: Approaches to understanding lives (pp. 59 89). London: Jessica Kingsley. Winter, D. G. (1998). A motivational analysis of the Clinton rst term and the 1996 presidential campaign. Leadership Quarterly, 9, 367 376. Ziller, R. C. (1973). The social self. Elmsford, NY: Pergamon. Ziller, R. C., Stone, W. F., Jackson, R. M., & Terbovic, N. J. (1977). Self-other orientations and political behavior. In M. G. Hermann (Ed.), A psychological examination of political leaders (pp. 174 204). New York: Free Press. Zullow, H. M., & Seligman, M. E. P. (1990). Pessimistic rumination predicts defeat of presidential candidates, 1900 to 1984. Psychological Inquiry, 1, 52 61.

Summary

Figure 10.5 Schematic representations of (a) time to contact for an object approaching a stationary observer ( local tau 1) and ( b) final place of contact for a stationary observer.

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