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your value proposition. 2. You are trying to skimp on your customers while expecting the world from them. Either way, serious changes will have to take place to address this mismatch. Either you will have to approach the right customers and neglect the wrong ones, or you will have to adapt your experiences to match the customers you have, so that you meet and exceed their expectations. There is one sure thing in this picture: the status quo will not last for too long. Any mismatched relationship breeds dissatisfaction. Dissatisfaction causes customers to wonder why they are in the relationship and whether there is not a better alternative out there. They most likely will find better perceived or real alternatives. They are less likely to stay trapped in a mismatched relationship. A mismatched relationship is a recipe for competitors to come and take over your customers.

+ I C1 + I C 2 + I C 3 )

Now as before, substitute in the measurement error component for the true component in (4.9): Y = 0 + (X1 ) 1 + X2 2 + = 0 + X1 1 1 + X2 2 + = 0 + X1 1 + X2 2 + ( 1 ). (4.11)

Creating the Right Impact ........................................................27 Making eye contact.........................................................28 Using your body language .............................................29 Creating warmth by smiling ..........................................29 Using intonation and inflection.....................................31 Building Your Confidence ........................................................32 Getting Off to a Great Start ......................................................32

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Figure 9.1 shows the constellation of data symbols (points) for a 16QAM code and the decision boundaries between them. The amplitude of the received signal is coherently detected against two quadrature carriers that are in synchronism with the unmodulated signal (the carrier). Two data bits (four values) are obtained in each normal direction. In the absence of noise, each received symbol matches one of the constellation points; its coordinates are the outputs from the two detectors. With additive noise, the received signal is described by a two-dimensional Gaussian probability density about each point. Figure 9.2 shows this distribution from the top at (a) and the Gaussian distribution along a cut through that at (b). The weaker is the signal, relative to the noise, the wider will be the density function. That is, the circle representing a given probability density grows in diameter when the signal becomes weaker. Probability of error is determined by integrating the probability density that falls outside the decision boundaries. Phase noise produces uncertainty in only the phase, as shown in the upper right of Fig. 9.1. The probability density is maximum at the data point, and error is again determined by integrating the probability along the part of the arc that is outside the decision boundaries. (The arc continues with decreasing probability beyond what is shown.) The distribution along the arc would look like Fig. 9.2b. The combination of the two types of noise stretches out the circularly symmetric distribution due to additive noise along the arc, as shown in the upper left of Fig. 9.1. The distribution around all of the points is affected by both additive and phase noise, but the effect of phase noise increases farther from the origin

Richard N. Langlois and Paul L. Robinson, Explaining Vertical Integration: Lessons from the American Automobile Industry, Journal of Economic History 49, no. 2, The Tasks of Economic History (June 1989), 366 367.

6 1 5

ADX and Moving Average based Strategy {ADX by Wells Wilder ADX determines trendiness} Inputs: adxLength(14),mavLength1(9),mavLength2(19); Vars: adxVal(0); adxVal = Adx(adxLength); if(adxVal>=15) then {we are in trending mode} begin if(Average(Close,mavLength1) crosses above Average(Close,mavLength2)) then buy tomorrow at High stop; if(Average(Close,mavLength1) crosses below Average(Close,mavLength2)) then sellshort tomorrow at Low stop; end; if(adxVal<15) then {we are not in trending mode) begin if(MarketPosition = 1) then Sell next bar at Lowest(Low,4) stop; if(MarketPosition = 1) then BuyToCover next bar at Highest(High,4) stop; end;

mated testing suite. After all defects are removed, the service is migrated to the production server, where its functionality and performance can be monitored with the same test suites. Database Extensions For software that interacts with a database, the basic infrastructure should be extended to include a development database and a production database, as well as software tools that verify the functionality of the database. The developers work on the development database, which is located on a staging server. Once the database is tested and ready for deployment, it is moved to the application deployment server (Figure 5.7). As the developer implements the code for the database interface, the database developer (either the same developer or a different developer) designs and implements the database. To verify the database s functionality and performance, developers use software tools to check that the database design complies with best practices, as well as to con rm data integrity, structural integrity, and database performance. As testers test the integrated application, they also have to verify the functionality of the database. After the application is deployed, the operations manager monitors the production database to detect any emerging data, functionality, or performance problems. As databases evolve, changes made to

Note, G is a symmetric dyadic so that G g2 = g2 G. Setting S11 2 1 = 0 we obtain the stationary condition. This becomes g1 x y S11 2 1 Y 2

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