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When mapping system behaviors to implementation artifacts, Session EJBs are prescribed as the target component type, without much or any discussion regarding why, alternatives, and so on More development effort, due to all the session-related artifacts For each EJB session, there are multiple Java artifacts and a deployment descriptor A large number of sessions means an even larger number of supporting artifacts Tools that autogenerate EJB artifacts help address this somewhat, but there is still the additional effort of defining the session, incorporating it into the generation tool setup, updating the build process, and so forth Need to implement a session before implementing or testing any functionality If a development team is new to EJB, they will likely spend a lot of time hammering out issues related to EJBs and sessions, and not spend time creating the actual implementation for the process in question.

// create a Java Card RMI instance JavaCardRMIConnect jcRMI = new JavaCardRMIConnect(ca); // select the Java Card applet jcRMI.selectApplet(PREPAID_AID); // alternative possibility to the previous line: // CardObjectFactory factory = new JCCardProxyFactory(ca); // jcRMI.selectApplet(PREPAID_AID, factory); // obtain the initial reference PrePaid pp = (PrePaid) jcRMI.getInitialReference(); // get the balance short balance = pp.getBalance(); System.out.println("Balance = " + balance); // debiting 15 money units byte[] pin = new byte[] {0x31, 0x32, 0x33, 0x34}; pp.debit((short)15, pin); // get the new balance balance = pp.getBalance(); System.out.println("Balance = " + balance); } catch(UserException e) { System.out.println("Reason code = 0x" + Integer.toHexString(0xffff & e.getReason())); } catch (Exception e) { System.out.println(e); } finally { try { SmartCard.shutdown(); } catch (Exception e) { System.out.println(e); } } } }

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Often, it is a better strategy to implement some process functionality in a non-EJB component first, to validate the logic and algorithm, and then use that within a session to give it transactional semantics, reliability, distribution, and so on..

Administrative datasets can be used as sampling frames for surveys The administrative dataset can then be used to provide evidence on nonresponse bias, to develop weighting strategies for dealing with nonresponse and to provide contact information for sample members In the context of a longitudinal survey, it is particularly important to understand potential bias that can occur as a result of attrition between waves or sweeps of data collection One example of the use of administrative records to understand nonresponse bias to a longitudinal survey is the MCS in the UK The sample for this study was drawn from Child Benefit records held by the DWP As information was available from the administrative records for all sampled families, it was possible to compare the characteristics of respondents with nonrespondents in order to develop nonresponse weights (Plewis, 2004).

Integrated survey designs of this kind have been common practice in the US for many years, especially those focused on welfare recipients that are often sampled from social security records (Cohen, 2004) There are many examples of longitudinal studies in the USA that are sampled through administrative records In the Medical Expenditure Panel Survey, administrative records are used to calculate nonresponse weights (Cohen, 2004) The New Beneficiary Survey uses information from mortality records to inform analyses of the correlates of attrition (Antonovics et al, 2000) The Medicare Current Beneficiary Survey (MCBS) uses administrative data as a sampling frame to provide substantive data items on healthcare, to provide targeted refreshment samples to correct for initial undercoverage of certain population groups and to adjust for losses due to attrition.

tical to xed exchange ratio mergers In order to capture the arbitrage spread and create a payoff that is independent of the level of the acquirer s stock price, the merger arbitrageur must establish a short position in the acquirer s stock Thus, during the pricing period, the arbitrageur shorts the acquirer s stock and transforms the arbitrage investment from one that is like an investment in a cash merger into one that is like an investment in a stock merger1 For an acquirer, a major risk of entering into a oating exchange ratio merger agreement is that the number of shares that must ultimately be issued can be very large To mitigate this risk, merger agreements often augment the oating exchange ratio structure by placing limits on the number of shares that must be issued These types of mergers are often referred to as collars.

The Survey of Income and Program Participation (SIPP) was designed from the beginning to incorporate administrative data linkages and development work for this integrated survey design started in 1973, with the actual survey starting in 1983 (Herriot et al, 1988) Administrative data can also be used to help with sample maintenance, as they may contain home addresses of respondents and other contact information Obtaining such information can help greatly with tracing respondents and thereby minimising panel.

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