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using the ber variable to form a composite with a variable that has weaker correlation with rating dilutes the strength of ber s strong association with rating and so degrades the ef cacy of the model. Thus, reluctantly, we put aside the model y = 0 + 1 (sugarsz ) + 4 (shelf 2) + 5 (W ) + . One possible alternative is to change the weights in the composite, to increase the weight of ber with respect to potassium. For example,

Zhang, Addressing and routing in hexagonal networks with applications for location update and connection rerouting in cellular networks, submitted for publication 29 G P Pollini and C-L I, A profile-based location strategy and its performance, IEEE Journal on Selected Areas in Communications, 15, 8, 1415 1424, 1997 30 M Rahnema, Overview of the GSM systems and protocol architecture, IEEE Communications Magazine, 43, 92 100, 1993 31 T S Rappaport, Wireless Communications Principles and Practice, Upper Saddle River, NJ: Prentice Hall, 1996 32 C Rose, Minimizing the average cost of paging and registration: A timer-based method, Wireless Networks, 2, 109 116, 1996 33 S Ramanathan and M Steenstrup, A survey of routing techniques for mobile communication networks, Mobile Networks and Applications, 1, 89 104, 1996 34 C Rose and R Yates, Minimizing the average cost of paging under delay constraints, Wireless Networks, 1, 211 219, 1995 35 J.

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Schiller, Wireless Communications, Boston: Addison-Wesley, 2000 36 I Stojmenovic, Honeycomb networks: Topological properties and communication algorithms, IEEE Transactions on Parallel and Distributed Systems, 8, 10, 1036 1042, 1997 37 S K Sen, A Bhattacharya, and S K Das, A selective location update strategy for PCS users, Wireless Networks, 5, 313 326, 1999 38 J Scourias and T Knuz, A Dynamic individualized location management algorithm, in Pro-.

proving the lemma. The arguments used in the proof can be extended to prove the AEP for the stock market (Theorem 16.5.3).

However, it has long been known that this approach is highly unsatisfactory (e.g., Rousseeuw & Leroy, 1987) because it suffers from what is called masking. That is, outliers can greatly in uence the sample mean, and particularly the sample standard deviation, which in turn can mask outliers. For example, consider the values 2, 2, 3, 3, 3, 4, 4, 4, 100,000, 100,000. Surely, 100,000 is unusual compared with the other values, but it is readily veri ed that 100,000 is not declared an outlier when using Equation 3.4. Methods for dealing with this problem are available (e.g., Barnett & Lewis, 1994), and some variation of these methods is recommended when dealing with power. One method that stands out is based on the median, M, and a measure of scale called the median absolute deviation (MAD) statistic, which is just median(|X 1 M|, . . . , |X n M|). That is, MAD is the median of |X 1 M|, . . . , |X n M|. A rule for detecting outliers that is a special case of a general approach proposed by Rousseeuw and van Zomeren (1990) is to declare X an outlier if |X M| > 2.24. MAD/.6745 (3.5)

The Resources folder in an application bundle has all the miscellaneous stuff the application needs in order to run, besides the code (which you found in the MacOS folder). This includes graphics displayed by the application (including icons, image files, bitmaps, and so on), human-readable text, sounds, and anything else the application developer wants to stash. If the application has any sort of associated files that should always stay with it, even when it s copied or moved, the Resources folder is like a safe deposit box for hiding these.

The formatting identifiers may seem a bit foreign until you see them used in context. Listing 2-1 shows some ActionScript code that uses all of the identifiers.

Potential for a Global Deadlock The probability that local transactions might be involved in a global deadlock. Preacquisition of All Locks A deadlock-handling scheme that requires all transactions to secure all the data item locks they need before they run. Timestamp An identi cation of a transaction based on the time. Transaction Starvation A phenomenon that prevents a transaction from ever securing all the data item locks it needs. Wait Die An approach to deadlock avoidance that uses age to allow a transaction to wait or to die. Wait-For-Graph (WFG) A direct graph that shows how transactions are waiting for items locked by other transactions. Wound Wait An approach to deadlock avoidance that uses age to allow a transaction to try to preempt the lock another transaction is holding or to wait for it.

since by the de nition of a discrete memoryless channel, Yi depends only on Xi and is conditionally independent of everything else. Continuing the series of inequalities, we have

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