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Exhibit 18.4 illustrates the asset allocation management effect. Here we have a country selection fund, which was overweighted in Canada at the beginning of the period, and Canada outperformed the average country. So we had a positive asset allocation effect in Canada equal to 0.21%, which is the 2.1% difference between the return in Canada and the benchmark total return (10% 7.9%) weighted by the 10% incremental overweight in Canada (60% 50%). Given the overweight in Canada we underweighted something else. In this case we underweighted both Japan and France, leading to positive asset allocation effects in both countries. The positive effects are due to the underweight in countries that did worse than the average benchmark return during the period.

A Smart Tag is a small icon that appears automatically in your worksheet. Clicking a Smart Tag reveals several clickable options.

Validity objValidity = objSignatureContext.verify (objSignatureElement, objPublicKey);

TRAFFIC ENGINEERING WITH MPLS (MPLS-TE)

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It surprises him that the shell just echoes his input back to the screen but does not list any files. He will call Freston for help.

Satellite Frequency band (GHz) Number of operational transponders (bandwidth, B, MHz) Coverage e.i.r.p. (edge of coverage) (dBW) G/T (dB(K ))

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attempts to keep churn levels to a minimum using data mining The problem in this industry is particularly challenging as a result of the dif culty in customer acquisitions because the market is somewhat saturated This means that the cost of retaining a customer is signi cantly less than the cost of acquiring a new customer Data concerning call details, along with billings, subscriptions, and demographic information, collected over a given time period is used to build the models Understanding this behavior allows the telecommunications company to focus marketing campaigns, offering new services that speci cally focus on customer retention Increasing business from existing customers: The ability to sell new products and services to existing customers is a signi cant focus in many companies sales and marketing divisions It is usually more pro table to sell additional products and services to existing customers than to acquire new customers.

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Information on customer transactions is supplemented with data about customer demographics and lifestyle, as well as geographical information This information may be obtained from a loyalty program application or from a third-party supplier Aggregated information from historical data, such as the propensity to respond to marketing campaigns, is often added Data transformations are often applied to ensure the relevant business questions are answered, for example, using product hierarchies that generalize individual purchases into general categories This rich collection of information is often data mined to understand customer segments associated with certain buying habits and customer preferences These groups can also help in understanding those segments of the market that are most pro table This segmentation enables highly focused marketing campaigns to promote products and product combinations to speci c consumer groups in speci c locations.

$ mkdir $HOME/devil-linux $ cp /media/cd*/isos/ch09-firewall/devil-linux* $HOME/devil-linux/

1. Using the pwd command, verify that you are in your home directory (the directory you are placed in when you first log into the system):

Multiplying Boolean values results in the following:

These targeted promotions result in signi cantly higher response rates than tradition blanket marketing campaigns, at a reduced cost Organizations often tightly integrate these analysis capabilities within their customer relationship management (CRM) systems and the models are continually checked to ensure they are up-to-date These models are often tested using smaller scale trial runs, and the results of the trial runs can be used to determine whether the models will be used in a more expansive marketing campaign Understanding sales channels: Predictive models are also built to identify the sales channel through which any offer should be made, such as through the internet, the mail, through a branch of ce, or even through specialized consultants Models built to predict the appropriate sales channel are based on the pro le of the sales lead.

The appendixes contain supporting information for the rest of the book. Appendix A describes the Linux Toys II CD that is included with the book. Appendix B describes some of the basic Linux skills you need to use this book. Appendix C walks you through installing Linux (using Red Hat Fedora Core or Enterprise Linux as examples).

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