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Combining these equations, we arrive at the formula stated above.
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To counter the threat from cable, telecoms companies have been interested in increasing the speed of data transmission over the telephony local loop. There are a number of different strategies that can be employed. The simplest is obvious: use more than one pair of wires, and this is exactly what used to be done by businesses which expected to handle a large number of calls. This technique has, however, been obsolete for a number of years because digital services have been developed that allow the simultaneous transmission of multiple voice circuits channels (typically around 30) on pairs of rather better quality cable, into business premises. (These cables have often, today, been replaced by optical bre.) Essentially we can treat the business telephone network as being subsumed into the main integrated services digital network (ISDN) the local loop essentially disappearing for large businesses. The data rates available to them can be as large as they can pay for.
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Stores. A male example is Stephen a type 6 described as a mainstream father aged 35 46 who shops at Next and Debenhams, he doesn t rate brands and quality is not a high priority for him, but he does like to spend money on clothing for his children. The actual pro les available give much more detail than that above and readers can access the full dataset via the hyperlink: Fashion marketers obviously need better tools for analysis and planning, and geodemographics combined with fashion lifestyles represents a signi cant advance, but it is not a panacea or even a clear successor to alternative methods of analysis. To ask some obvious questions, why should the type of dwelling have any bearing on the purchase of clothing Does the buyer of a leather coat live in an inner city at, an af uent suburb or a rural setting
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Fig. 3.4.29 while the dependences of delay time and rise time on number of crossing lines in the range 1 80 are shown in Fig. 3.4.30. This gure suggests that the greater the number of crossing lines, the greater will be their effect on the propagation delays in the driven interconnection, as expected.
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Recall that volumetric considerations for the retailer are captured through the demand function. The corresponding concept for the producer is the supply function. In this example, we present supply and pro t functions for the baseload unit under the following additional assumptions. The unit is a coal- red plant. The total variable cost, fuel and VOM, is not a random variable and is set as follows: H(G + g) V = $34/MWH Prices do not fall below the total variable cost, so that P = B. The unit capacity is 500 MW The time horizon is a month with 720 hours With these assumptions the production, M, is a constant. Supply = M = 360,000 MWH This equation gives the supply function. The pro t function then becomes the following: Pro t = W = 360,000(B 34) Since W is linear in B, the correlation Corr(W,B) = 1. This portfolio can be completely hedged by selling the xed for oating instrument. Note that the slope of the pro t function is positive, so e* is negative. Indeed, the optimal value for e* is 360,000 MWH. The pro t on the hedged portfolio becomes the following: Pro t with hedge = W e*(B f ) = 360,000(65 34) = 12.24 million dollars Figure 10.21 provides a plot of the pro t function for the hedged and unhedged portfolios. The sale of the xed for oating contract is also shown.
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