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From Sen s model [6 8], a VBR video source can be modeled by a twodimensional continuous-time MC with nite states as shown in Figure 812 Each state (x, m) represents the combined discrete level of low and high bit rates that are generated by a single source The combined data rate of each source is m Ri,l + x Ri,h , where Ri,l is the low for user i using one low-bit-rate spreading code and Ri,h is the high bit rate for user i using one high-bit-rate spreading code That is, we assume that each level of low or high bit rate uses one low- or high-bit-rate spreading code for a class i user Each low-bit-rate level is modeled by a two-state minisource with an increase rate of i and a decrease rate of i .

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Figure 2-1 The traditional market life cycle, as shown in the example of the television set industry

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Thus, the two-dimensional continuoustime MC for a single video source at state (x, m) has an increase rate of (Mi m) i and a decrease rate of m i for low-bit-rate uctuations, where Mi is the highest level in the low-bit-rate states, and this is also the maximum number of active spreading codes used by a class i user for low-bit-rate uctuations Each high-bit-rate uctuation is modeled by a two-state MC with an increase rate of i and a decrease rate of i There are only two states in the high-bit-rate uctuation x 0, 1 represents the high-bit-rate state that the video source is in State 0 (x = 0) means that there are no high-bit-rate uctuations, only low-bit-rate uctuations; state 1 (x = 1) means that there are both low- and high-bit-rate uctuations If the high-bit-rate uctuation has only one state (state 0), it reduces to Maglaris s model.

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Figure 12.13: Jupiter knows a lot goes into building a loyalty profile. Then, of course, there's all of the other data you collect about customers besides what you glean off your Web site. In the Q2 2001 issue of The Journal of Customer Loyalty, Frank Capek, vice president, eLoyalty (www.eloyalty.com), a company that provides customer loyalty services and software, wrote an article called "The Customer Loyalty Mirror." Capek describes numerous ways a company can improve customer loyalty. He also offers up a chart (see Figure 12.14) to help the reader understand just what we're talking about: personal attitudes.

The financial and cultural switch from using salespeople to sell via a telephone to selling in person is massive. The time, support costs, and payback escalate and can only be justified on top ticket items (> $5,000) or high-volume sales (100 x $50 upwards). These figures are highly subjective as it depends on the sales cycle of your product and the average number of visits required to convert a customer. Table 16-2 shows an example of a firm selling a $5,000 product. Look what happens to the bottom line as selling costs vary.

Furthermore, if Mi = 1, the source is an on/off source The steady-state probability of being in state m, denoted by Pm , is given by a binomial distribution with parameters (Mi , pi , m), where m = 0, 1, , Mi and pi = i /( i + i ), and its rst two moments and variance are Mi pi , Mi pi [1 + (Mi 1) pi ], and Mi pi [1 pi ], respectively The steady-state probability of being in state x, denoted by Q x , obeys a Bernoulli distribution with parameters (qi , x), where x = 0,1 and qi = i /( i + i ), and its rst two moments and variance are qi , qi , and qi [1 qi ], respectively Next, let i,l denote the E b /I0 for class i using low-bit-rate spreading codes It is given by.

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