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important to reproducing results obtained during characterization. They can also vary with frequency so we should try to obtain characterizations at frequencies close to those in the intended operations. Further, as we shall see, the predicted dependence on RF level can be inaccurate if the signal is too strong. Broadband terminations are important because the mixer performance is in uenced by impedances seen by spurious responses as well as by the desired responses. Maas (1993, pp. 188 189) indicates that reactive out-of-band terminations at the IF port of a DBM (Fig. 7.1) can change spur and IM levels by as much as 20 dB, while such mismatches on the LO port can account for 10 dB. Only a 1- or 2-dB effect is expected from such mismatches at the RF input port. Even-order terms in the signal or signals that are balanced tend to cancel (Henderson, 1993c, pp. 482 483). In a DBM we therefore expect spurs with m or n even to be small compared to odd spurs and spurs with both m and n even to be even smaller. This is commonly observed to be true (McClaning and Vito, 2000, p. 306). The trend can be seen in Fig. 7.3 along with the decrease in level at higher orders and the particularly high level of m 1 spurs. Since the unbalanced IF port in a DBM is usually rated lower in frequency than the other two ports, it is sometimes used as an input port for upconversion (unlike the

The synchronous event demultiplexer function returns to the reactor when one or more handles corresponding to event sources becomes 'ready', for example when a Socket becomes 'ready to read'. The reactor then uses the ready handles as 'keys' to locate the appropriate event handler(s) and dispatch the corresponding hook method(s). The type of indication event that occurred can be passed as a parameter to the hook method. This method can use this type information to perform any additional application-specific demultiplexing and [2] dispatching operations. After the appropriate hook method within the event handler is dispatched, it processes the invoked service. This service can write the results of its processing, if any, to the handle associated with the event handler so that they can be returned to the client that originally requested the service.

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Islander women have the lowest screening rates for cervical cancer; cervical cancer rates for Vietnamese women are the highest among all groups, nearly ve times the rates of white women (Mayberry, 1999).

where f(x) is the PDF and F(x) is the CDF of N(0, 1) Hence theoretical DSD can be found for any x (- , ) from N(0, 1) tables In particular, if we consider x* = 0, DSD = (05)05 In general, there is a somewhat complicated monotonic nonlinear relation between s and DSD if x is distributed exactly as N(0, s2) In the context of portfolio analysis we can de ne the downside as whenever there is a loss to the investor The loss can be de ned to occur when the return for the asset i at time t is less than the risk-free return xi,t < xf,t, that is, when the excess return is negative Alternative de nitions could be if the return is below the market returns, or below some risk-adjusted target return as in CAPM and tracking error.

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It is convenient to suppress the subscript i and denote the excess return by xt Under exact normality of excess return distribution, it can be shown that the ranking of the portfolio risks by the usual standard deviation s and DSD is exactly the same This is true because DSD is a monotonic nonlinear function of the usual s In practice, the excess return distribution is rarely, if ever, precisely normal Hence it is not surprising that the ranking of risk by DSD does not coincide with the usual ranking of risk by s Xie (2002) shows how portfolio choices change when one considers downside risk It is convenient to consider T observations for a given portfolio with known excess returns xt, which are not classi ed into any intervals Let T denote the number of observations in the downside range of values of xt where a loss occurs.

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Now DSD can be computed by giving a zero weight to all x > 0 We modify the usual de nition of the variance to focus only on the downside by inserting a weight as.

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