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However, as demand for bandwidth climbed, the need to eliminate the bottleneck in the token ring domain emerged and fast token ring was born In 1998, the IEEE 8025 committee (the oversight committee for token ring technology) announced draft standards for 100 Mbps high-speed token ring (HSTR 8025t) A number of vendors stepped up to the challenge and began to produce high-speed token ring equipment including Madge Networks and IBM Gigabit token ring is on the horizon as draft standard 8025v, and while it may become a full-fledged product, many believe that it may never reach commercial status because of competition from the far less expensive Gigabit Ethernet..



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Small samples of market data are unlikely to be representative of the universe from which they are drawn: consequently, they will probably differ significantly from other samples obtained from the same universe Applied to a small development sample, an optimizer will faithfully discover the best possible solution The best solution for.

One other topic that should be covered before we conclude our discussion of LANs is logical design. Two designs for LAN data management have emerged over the years. The first is called peer to peer. In a peer-to-peer LAN, shown in Figure 5-24, all stations on the network operate at the





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There is only one useful method on the Timer class: Change. The Change method is used to change the due time and interval of the timer and has four overloads that match the four ways to specify due time and period in the constructor. The work method takes a single object parameter that corresponds to the state parameter passed to the constructor (or the Timer object itself if the first form of the constructor was used). private void doSomething(object state) { Dispatcher.BeginInvoke( delegate() { timerOutputText.Text =

Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.

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the development sample, however, may turn out to be a dreadful solution for the later sample on which genuine trades will be taken. Failure ensues, not because optimization has found a bad solution, but because it has found a good solution to the wrong problem! Optimization on inadequate samples is also good at spawning solutions that represent only mathematical artifact. As the number of data points declines to the number of free (adjustable) parameters, most models (trading, regression, or otherwise) will attain a perfect tit to even random data. The principle involved is the same one responsible for the fact that a line, which is a two-parameter model, can always be drawn through any two distinct points, but cannot always be made to intersect three arbitrary points. In statistics, this is known as the degrees-of-freedom issue; there are as many degrees of freedom as there are data points beyond that which can be fitted perfectly for purely mathematical reasons. Even when there are enough data points to avoid a totally artifact-determined solution, some part of the model fitness obtained through optimization will be of an artifact-determined nature, a by-product of the process. For multiple regression models, a formula is available that can be used to estimate how much shrinkage would occur in the multiple correlation coefficient (a measure of model fitness) if the artifact-determined component were removed. The shrinkage correction formula, which shows the relationship between the number of parameters (regression coefficients) being optimized, sample size, and decreased levels of apparent fitness (correlation) in tests on new samples, is shown below in FORTRAN-style notation:

same protocol layer, and all have equal access at any time to the shared medium and other resources on the network. They do not have to wait for any kind of permission to transmit; they simply do so. Traditional CSMA/CD is an example of this model. It is simple, easy to implement, and does not require a complex operating system to operate. It does, however, result in a free-for-all approach to networking, and in large networks can result in security and performance problems. The alternative and far more commonly seen technique is called client server. In a client-server LAN, all data and application resources are archived on a designated server that is attached to the LAN and accessible by all stations (user PCs) with appropriate permissions, as illustrated in Figure 5-25. Because the server houses all of the data and application resources, client PCs do not have to be particularly robust. When a user wishes to execute a program, such as a word processor, he or she goes through the same keystrokes he or she would on a standalone PC. In a client-server environment, however, the application

In this equation, N represents the number of data points, P the number of model parameters, R the multiple correlation coefficient determined for the sample by the regression (optimization) procedure, and RC the shrinkage-corrected multiple correlation coefficient. The inverse formula, one that estimates the optimizationinflated correlation (R) given the true correlation (RfJ existing in the population from which the data were sampled, appears below:

Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.

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