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Here the coef cient of variation is expressed as a ratio. It can be used to compare the relative variability of two data sets. We can use the coef cient of variation to compare the variability of fund returns. Exhibit 12.2 shows the calculation of the coef cients of variation for our sample fund and benchmark. The standard deviations are approximately 1.76 times the mean fund return and 1.81 times that of the benchmark mean. We conclude that the variability of the benchmark returns, as expressed as a percentage of the mean return, is higher than the variability in the fund returns. This is the opposite conclusion that we come to by comparing the absolute standard deviations.

1 1 e T / + 2(1 + )

25.01 25.99

$host.PrivateData.errorBackgroundColor = $host.PrivateData.warningBackgroundColor = $host.PrivateData.DebugBackgroundColor = $host.PrivateData.VerboseBackgroundColor = $host.ui.rawui.backgroundColor

We can add a damping coef cient, f1 = 2 exp ( ) cos 2 0 f2 = 1 exp ( 2 ) w0 = 1 f22 f12 2 f2 f12 1 f2

The logistic regression coef cients are computed using a maximum likelihood procedure (Agresti, 2002), where the coef cients are continually re ned until an optimal solution is found. The Newton Raphson method is often used. Since the ^ method is repeated multiple times, the estimated values for the coef cients b new old ^ are updated using the previous estimates b , based on the following formula: ^ ^ b new b old (X T WX) 1 X T ( y p) where X is the matrix describing the independent variables (with the rst column assigned as 1 for calculation of the intercept), p is a vector of tted probabilities, W is a weight matrix where the diagonal values represent p(1 p), and y is the response variable. The method starts by assigning arbitrary values to the b coef cients. The b coef cients are repeatedly calculated using the formula above. Each iteration results in an improved coef cient estimate, and the process nishes when the beta coef cients are not changing signi cantly between iterations.

By default, a CD is usually mounted on the /mnt/cdrom directory (Linux 2.4 kernels) or a subdirectory of /media (Linux 2.6 kernels). (The file system type, device name, and other options are filled in automatically.) To see the contents, type cd /mnt/cdrom or cd /media/cd*, and then type ls. Files from the CD s root directory will be displayed. n Floppy disk If you want to mount a floppy in the Linux ext3 file system format (ext3), or in some cases a format that can be autodetected, mount that floppy disk by inserting it in your floppy drive and typing one of the following:

These items are outlined in Fig. 1.2, and discussed further in the following sections. 1.1.1 Models

"Pluralistic walkthroughs are another type of walkthrough in which users, developers and usability experts work together to step through a [task] scenario, discussing usability issues associated with dialog elements involved in the scenario steps" (Nielsen and Mack, 1994, p. 5). Each group of experts is asked to assume the role of typical users. The walkthroughs are then done by following a sequence of steps (Bias, 1994):

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Certain types of stochastic processes are best modeled using random jumps drawn from a Poisson process such as the default time of a bond issuer or even a

coo-

but reminded him that, in a hierarchy, Dave has the legitimate right to manage and judge his direct reports; continuously violating this right would undermine his ability to manage successfully. If Fred continues to interfere, he will be responsible for results that may be poorer than those he was already getting. And, by referencing his successful track record and the conf idence that Fred had shown in him on other matters, Dave implicitly threatened the loss of something valuable. Thus, there were several negative costs that Fred could avoid if he would back off Ray, and he did. Furthermore, he used a tough style of interaction that ref lected Fred s own behavior, which reinforced Dave s position in the exchange.

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