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As discussed in earlier chapters, XML is a cross platform neutral-data format and Java is a cross platform programming language. These technologies provide a perfect solution for developing network independent and extensible applications; they enable interoperability, portability, and flexibility. They also provide a standard solution for integrating heterogeneous applications and systems ranging from cell phones to large-scale enterprise applications. An application can be written in Java and ported to various supported platforms (hence, the Write Once, Run Anywhere mantra trademarked for Java by Sun Microsystems). In addition, XML also has the capability to talk to Java as well as non-Java applications running on diverse platforms. With the overwhelming success of XML and Java in enterprise applications, the use of XML has required the development of parsers and other supporting technologies to process the XML data. Many XML-based technologies have been developed over the last few years using vendorspecific APIs that require specific vendor implementation knowledge. The introduction of the Java XML APIs provides standard interfaces that are independent of any vendor-specific implementation. For example, in using a JAXP-compliant parser, this standardization provides better support for maintaining application code and enables the application provider to exchange the underlying implementation of the parser. This change

Column C shows the predicted y values for each value of x, using the calculated values for b and c. For example, the formula in cell C2 is:

package jws.ch9.jaxmp2p.sender; import import import import import java.io.*; java.net.URL; javax.xml.transform.*; javax.xml.transform.stream.*; org.dom4j.*;

=STATFUNCTION(B1:B24,A24)

i) Stations operating in connection with leased 6/4 GHz space segment (transponders) on INTELSAT satellites. These stations are generally in compliance with Standard B, with the following characteristics: the antenna diameter may vary typically from about 5 m to 15 m; the communication modes (modulation and multiplexing methods) may be different and are usually chosen in order to optimize the overall system operation. In particular, telephony, which was previously transmitted in analogue modulation (SCPC-FM or FDM-FM, generally with companding), is now generally implemented in digital modulation (e.g. in SCPC-PSK or TDMPSK, often with low bit rate encoding).

Sat/C7-47

When planning the trip, once hotel, air, and car arrangements have been made, users need: to get pocket cash and travelers cheques in the destination currency while still at home (Juan) to know whether their mobile will work at their destination (Justine, Juan) to know the cost of operating their mobile at their destination (note that a US phone operating in the UK can cost USD3 per minute, with per minute billing) (Juan) to know whether mobile data services will work at their destination, and the cost (Justine, Juan) to make any necessary plans to get mobile voice or web services (all) to understand any cultural differences (appropriate dress, business card etiquette, and haggling practices, for example) (Juan) When packing and doing other last-minute planning, users need: information on any updated airport security arrangements, particularly carry-on restrictions (all) current traffic conditions on the likely routes to the airport (all) current security delays (all) flight status (all) when to leave the current location, based on all of the above, to make the flight (all) to know what records need to be kept for any relevant tax refund for non-citizens (Juan, Justine) When traveling to the main destination, users need: to get pocket cash in the destination currency (Justine) to acquire any necessary supplemental telecommunications equipment (Juan) gate information, name brand restaurants, stores, and bars in the airport (Justine, all) When at the main destination, users need: to get from the airport to the next destination, whether that is attraction, hotel, or meeting, without getting lost (all) to be able to select ground transportation, such as taxi or shuttle, that is reliable and appropriately priced (Justine, Juan)

(6.1)

A$1) As you might expect, a named formula can use mixed cell references. To demonstrate, activate cell B1. Use the Define Name dialog box to create a formula named FirstInRow, using this formula definition:

R-squared is the proportion of variability in fund returns that we can relate to the variability of the benchmark returns. It measures the degree of association in the fund and benchmark returns. We interpret R-squared as the ratio of the amount of portfolio market risk to total risk. R-squared can be used to determine the appropriateness of the benchmark used to evaluate and attribute fund performance. A high Rsquared indicates that the portfolio and benchmark are probably exposed to similar risk factors that are driving returns. Exhibit 11.5 demonstrates the calculation of R-squared for our example fund, which is equal to 0.78. An R-squared of 0.78 indicates that 78% of the variation in the fund returns is related to the variation in the benchmark returns and 22% is not. (1 R2) is called the coef cient of nondetermination, i.e., the percentage of variation in fund returns not related to the variation in benchmark returns. The values of R-squared can range from 0 to 1.0. A comparison of the values for correlation and R-squared illustrate the reason why Rsquared is easier to interpret. Exhibit 11.6 shows the R-squared values for various levels of correlation. Notice how easily high values for correlation can give the wrong impression about the proportion of variability in fund returns that is really explained by benchmark returns. It might seem that R-squared, correlation, and covariance duplicate each other as measures of benchmark relative variability. In fact each statistic offers more information than the last: