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on a particular codeword being sent, goes to zero if the conditions of the theorem are met. The above bound shows that the average probability of error, which by symmetry is equal to the probability for an individual codeword, averaged over all choices of codebooks in the random code construction, is arbitrarily small. Hence, there exists at least one code C with arbitrarily small probability of error. This completes the proof of achievability of the region in (15.58) for a xed input distribution. Later, in Section 15.3.3, we show that timesharing allows any (R1 , R2 ) in the convex hull to be achieved, completing the proof of the forward part of the theorem. 15.3.2 Comments on the Capacity Region for the Multiple-Access Channel We have now proved the achievability of the capacity region of the multiple-access channel, which is the closure of the convex hull of the set of points (R1 , R2 ) satisfying R1 < I (X1 ; Y |X2 ), R2 < I (X2 ; Y |X1 ), R1 + R2 < I (X1 , X2 ; Y ) (15.73) (15.74) (15.75)

Modeling can be a very effective tool for fraud prevention, but it typically requires access to a lot of historical data along with highly experienced staff to make it work correctly. The investment in modeling can be substantial, and it is typically associated with larger, more established companies. There are shell models that can be adapted to different companies within a similar vertical market, and models should not be ruled as an option for mid-sized companies looking for higher returns. The more data signals a company collects, the more likely models will be of use. Analytics isn t just about modeling; it is a core part of any fraud operation, and the capability to perform what-if and shadow strategies can mean the difference between a successful change to a strategy and a real disaster. What-if and shadow capabilities allow fraud teams to test new strategies and rule sets before they roll them into production.

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Our calculation of the inventory turnover rate is Food cost of sales for the month Average food inventory during the month $7,000 $24,500 $8,000 ($7,000 $8,000) / 2 $23,500 $7,500 Times per month 3.1 times

To convert a string to a numerical value, use the Number function. To convert a numerical value to a string, use the String function. For detailed information on each action, see the online ActionScript Dictionary in the Help menu. Scoping a variable A variable s scope refers to the area in which the variable is known and can be referenced. There are three types of variable scope in ActionScript:

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example, U.S. Government Anti-Terrorist, Embargoed Countries, International Traf c in Arms Debarment and Sanctions lists, and Specially Designated Nationals (SDN) and other Denied Persons lists, which may include terrorists, narcotics traf ckers, and blocked persons and organizations.

Figure 1-2

Connection arrival rate (connections/minute) (b)

In this section, I ll add some more concepts that are essential for would-be VBA gurus. These concepts become clearer as you work with VBA and read subsequent chapters: Objects have unique properties and methods. Each object has its own set of properties and methods. Some objects, however, share some properties (for example, Name) and some methods (such as Delete).

generally suf cient to have good parameter estimation Thus, for data quality analysis, there are two good options that are not available for hypothesis testing These two options are (a) to analyze the EM covariance matrix directly and (b) to analyze a single data set imputed from the EM parameters (with error) EM produces maximum-likelihood estimates of the covariance matrix From this, one may perform exploratory factor analysis and may get excellent estimation of coef cient alpha in the missing data case The main drawback to analyzing the EM covariance matrix has been the logistics of producing a matrix that is readable by existing software We will describe a solution to this logistical problem Producing a single imputed data set from EM parameters is not normally a good solution to hypothesis-testing problems.

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Although the data set itself is a plausible one, the fact that there is just one data set means that it is not possible to estimate standard errors accurately for the parameters estimated from this data set Nevertheless, if one must produce a single imputed data set, using EM parameters is the best option in that EM parameters are, in a sense, in the center of parameter space Another way of thinking about this is to note that the EM parameters are very similar to the average parameters obtained from a large number of imputed data sets The key advantage of using a single data set imputed from EM parameters is that one is dealing with a data set with no missing data Thus, standard statistical software (eg, SAS or SPSS) can be used.

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