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Before starting your fund selection, it s good to have a general idea of how many you are looking for. This depends a good deal on the amount of money you want to invest, what your objectives are, and how much risk you want to take. Also, always remember that the funds must match your overall allocation. One reason people have several funds is because they may want to go beyond their core holdings and invest in speci c sector funds. By doing so they should know they substantially increase risk in their portfolios, as we discussed in 5. You also need to be careful not to spread yourself too thin. Some funds have minimum investment amounts of anywhere from $1,000 to $10,000. Sometimes it s even higher. If you have limited money to invest, there are only so many funds you can buy shares in. Table 6.1 should be used only as a general guideline. It assumes you are not using any sector funds. If you use any special team/sector funds you would need to add one or two sector funds per portfolio, but generally, as I ve said before, you should limit them to no more than 10 percent of your portfolio. Of course, the chart also assumes you have already allocated speci c percentages of your portfolio to offense and defense. You ll also probably notice that investing under $100,000 into seven or fewer funds may not enable you to meet all the percentage al-

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That is, (32.23) and, consequently, the residual vectors { gz,fi satisfy (32.24) It is also straightforward to see that the corresponding minimum costs { E , EL} satisfy

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protocol entity in which a user-originated packet has been split into a number of minipackets that fit the packet size used at lower levels in the protocol stack. Since the splitting of a packet in mini-packets proceeds normally very fast, it is as if a number of mini-packets (a batch) arrive at the same time (or within a very short time period). We can model this kind of system by assuming so-called batch or bulk arrivals. We assume that we have a Poisson arrival process of batches of mini-packets with intensity X. An arriving batch consists of a random amount H of mini-packets, characterised by the discrete probabilities hk, k = 1,2, . . . . The expected number of mini-packets E[H] and the second factorial E[H ] Each mini-packet requires moment equals - E[H] a random = E[H(H - l)] = g Ic(k - l)hk.

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Houle, C. O. (1989). Governing Boards: Their Nature and Nurture. San Francisco: Jossey-Bass. Hughes, S. R., Lakey, B. M., and Bobowick, M. J. (2000). The Board Building Cycle: Nine Steps to Finding, Recruiting, and Engaging Nonprofit Board Members.Washington, D.C.: BoardSource. Jackson, K. T. (2004). Building Reputational Capital Strategies for Integrity and Fair Play That Improve the Bottom Line. Oxford: Oxford University Press. Janis, I. L. (1982). Groupthink: Psychological Studies of Policy Decisions and Fiascoes. Boston: Houghton Mifflin. Julius, D., Baldridge, J. V., and Pfeffer, J. (1999). A Memo for Machiavelli. Journal of Higher Education (March April), 113 133. Kanter, R. M. (1983). The Change Masters: Innovation & Entrepreneurship in the American Corporation. New York: Simon & Schuster, Inc. Kaplan, R. S., and Norton, D. P. (1996). The Balanced Scorecard:Translating Strategy into Action. Boston: Harvard Business School Press. Kelling, G. L., and Coles, C. M. (1996). Fixing Broken Windows: Restoring Order and Reducing Crime in Our Communities. New York:Touchstone Press. Kolata, G. (1996, April 12). The Long Shelf Life of Medical Myths. New York Times, p. 2. Kotler, P., and Murphy, P. (1991). Strategic Planning for Higher Education. In M. Peterson (Ed.), ASHE Reader on Organization and Governance in Higher Education (4th ed.). Needham Heights, MA: Ginn. Learning from Nonprofits. (1990, March 26). Business Week, 66 74. Letts, C. W., Ryan, W. P., and Grossman, A. (1999). High-Performance Nonprofit Organizations: Managing Upstream for Great Impact. New York: John Wiley & Sons. Lewontin, R. (2000). The Triple Helix: Gene, Organism, and Environment. Cambridge, MA: Harvard University Press. Lorsch, J. W., and Maciver, E. (2000). Pawns or Potentates:The Reality of America s Corporate Boards. Cambridge, MA: Harvard Business School Press.

In either case, with and without regularization, the orthogonality condition and the transformation (32.35), allow us to re-establish the relations of Lemma 32.1, as we now verify.

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