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From the content of the variable, you can determine that the browser is Mozilla 4.0 compatible and, speci cally, is MSIE 6.0. This variable contains a lot of information, much of it super uous to our intent just knowing the browser. Additional variables exist to help ferret out the information without having to parse the navigator .userAgent value. Some of these variables are listed in Table 25-6.

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change came in the environment, and the system had to adjust to it Modelling these types of discrete events is not natural within System Dynamics, and the pure form of SD has to be pragmatically adapted There is a long history of such work, dating back at least to Wolsteholme and Coyle (1980) and Coyle (1985), and it is now commonly recognised that, where such effects need to be modelled, the methods can be adapted, and the most modern SD packages allow some elements of discrete events to be included The second extension to System Dynamics comes in the need to model the probabilistic nature of many of our effects At the very simplest level, we have really only considered average values of project disturbances rather than the distributions.

Credit card companies make money from two primary sources: fees and interest income. Fees include annual membership fees, foreign exchange conversion fees, and service fees. In addition, when a card member buys something from a merchant a pair of jeans, a meal, an airline ticket the credit card company pays the merchant and pockets a small fee, typically 2.0 to 2.5 percent of the sale, called the merchant discount fee. As detailed later, depending on the network involved, the merchant discount fee may be shared among one or more businesses. Credit card issuers also earn interest income, which is the difference between the company s nancing revenue (the interest charged on loans to card members) and interest expense. At the end of each month, card members decide whether to pay off their balance or revolve, unless it s a charge card, in which case the balance must be paid in full every month. If they choose to revolve, the issuing bank or credit card network charges interest, often at a very high rate, on the balance due. These card member loans are typically nanced using debt, and the issuer earns an interest spread that depends on prevailing interest rates and underwriting discipline (if card members default, the card issuer must absorb the losses). Credit card networks operate under two frameworks: closed (Amex and Discover) and open (Visa and MasterCard). In a closed network the

For instance, the examples discussed in 9 s section on how effects compound only considered the average approval time, although in real life it is not only the average but also the distribution of approval time that has an effect, since a small number of crucial documents held up for a very long time have the effect of stopping much of the system being frozen; this was for simplicity, but also because averages are much easier to consider in standard SD systems But more than this, the requirement to model events that might or might not take place risks was the topic of 5 The objective of modelling risks is to understand the combined effect of the various combinations of risks.

temperature and density that are a consequence of convection Also, by mapping seismic anisotropy both vertically and laterally it is possible to obtain estimates of the direction of mantle ow The rst three-dimensional seismic velocity models for the mantle derived by the tomographic technique were published in the early 1980s (Woodhouse & Dziewonski, 1984) Since then there have been great improvements in data quality, geographic coverage, and processing techniques, and the resolution of subsequent models has greatly improved However, many of the essential features of the velocity variations were apparent in the earliest models Plate 121 (between pp 244 and 245) shows the variations in the shear wave velocity at 12 depths in the mantle according to model S16B30 of Masters et al (1996).