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One of the standard procedures that our investigative team performed was to remotely scan the suspicious computers. Following this protocol, the team selected a few IP addresses at random and started monitoring the activity coming from them. However, within a few hours of our scanning, the targets went silent. The bad guys turned out to be extremely smart; they realized they were being scanned. As a result, we did not collect much evidence by that method. Then the next day, the team chose another set of IP addresses to monitor in the hope of collecting more information but suddenly the unexpected happened. Our computer lab was attacked by the hackers. It was their way of saying, We know who you are. Do not mess with us. That made us realize the fraudsters were extremely sophisticated and well organized. It also con rmed our theory that most of the fraudulent activity was related and committed by an organized group.

Although the systems included in this chapter generated trading signals on a closing basis and traders therefore aren t tied to the computer screen throughout the trading day, implicitly linked to the concept of patience and fewer trading opportunities is the fact that when these rare moments of unsustainable market action occur, we must be on hand to capitalize on them.

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The final <estimate> element is in boldface because you'll replace the input value of 1 with the total of the estimates for the tasks. The DTD requires that you provide an estimate in order for SampleStories2.xml to be a valid document. Any int will do, however, as you will be ignoring this value. Subclassing UserStory.java The source code for UserStory.java was produced for you by the schema compiler. It provides basic functionality that you can easily extend. Create a subclass of UserStory called ChangedUserStory. In this class you will introduce a method called calculateEstimate(), which will calculate the value of the <estimate> child element of <userStory> by totaling up the values of the <estimate> elements in the <task> children elements of <userStory>. While you're at it you can change getEstimate() so that it recalculates the value of _Estimate. ChangedUserStory.java isn't very big. Here it is in its entirety:

where ^ii 0 estimates the joint response probability of the elements i,i 0 2 s0 via ^ii ^i and ^ii0 ^i ^i 0 in the case of i 6 i 0 . For the second variance term note: ^ ^ INR V2 Tyt ^ INR y where zi di gi ~i t x0 gi B : i Attrition (ATT) Here a sample person that responded at time 0 drops out during the course of the panel. This could be associated with difficulties in the fieldwork but also could be due to a reluctance to continue participation in the panel. Viewed from the estimation problem at wave t, this type of nonresponse can be treated similarly to the initial nonresponse (INR). The only difference is that the nonresponse occurs at a later point of time, thus usually more information is available in order to model the response process. Final Nonresponse (FNR) After having established a sample st according to the follow-up rules, it usually occurs that the desired data cannot be collected for all contacted persons k 2 st. This would also be the type of nonresponse that one has to deal with in a cross-sectional context. We denote the response indicator by Rt and the corresponding response probability by k. k t0 t t0 t With the common logistic response model with k exk l = 1 exk l and thus an adjustP P t t ^t t t ^ ment factor gt 1= k 1 e xk l , where ^ is determined via l t wk x g t wk xk ,

public CustomerTag() { try { Context initial = new InitialContext(); Object objref = initial.lookup("ejb/Customer"); home = (CustomerHome)PortableRemoteObject.narrow( objref, CustomerHome.class); } catch(Exception e) { // Just print the error out System.err.println("Error finding home interface" + e); } }

This rather extended example of a squeeze was chosen because it illustrates some of the risks associated with a market neutral trading strategy. Participants in such strategies must:

public class MultiCalculatorClient { private ServiceTemplate serviceTemplate; private ServiceDiscoveryManager serviceDiscoveryManager; private ServiceItem addingServiceItem, subtractingServiceItem; public MultiCalculatorClient() throws IOException { setUpSecurityManager(); setUpServiceDiscoveryManager(); setUpServiceTemplate(); System.out.println( "First locate an adding service and use it"); addingServiceItem = setUpServiceItem(new FilterForAdder()); performCalculation(addingServiceItem); System.out.println( "Next locate a subtracting service and use it"); subtractingServiceItem = setUpServiceItem(new FilterForSubtractor()); performCalculation(subtractingServiceItem); } private void setUpSecurityManager(){ if (System.getSecurityManager() == null) { System.setSecurityManager(new RMISecurityManager()); } } private void setUpServiceTemplate(){ Class[] types = new Class[] { Calculator.class }; serviceTemplate = new ServiceTemplate(null, types, null); }

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