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Human error happens for many reasons, but in the end it almost always comes down to a mismatch between a human operator s mental model of the IT environment and the environment s actual state. Sometimes this confusion arises from poorly designed status feedback mechanisms . . . but other times the mismatch simply arises from a lack of experience on the operator s part, or worse, to quirks of human cognitive processing that obstinately steer even an experienced operator toward the wrong conclusion . . . people are simply too good at finding unanticipated ways to make mistakes.2

The __init__() special method has self as the first argument like any other function and method defined in Python. During the instantiation operation, when the __init__() method is called, the object of the instance is passed to self. In the preceding example, two instance attributes, a and b, are also initialized. The __init__() method can also have arguments other than self. As the __init__() method is not invoked directly, you can pass values to these arguments through the instantiation operator at the time of instantiation.

Notice that the composite return for our sample composite over the twomonth period was 15.49%, but no constituent portfolio actually earned this return. One fund came close, Fund 5 with a 15.68% return, but the other fund returns ranged from 8.35% to 33.77% over the period. This is an extreme example, but given that the reported composite return is a weighted average, it may not be representative of the returns actually experienced by the clients invested in the strategy represented by the composite. We can quantify the variability around the average return with various composite dispersion statistics. Dispersion within a composite is sometimes called internal risk. A high degree of dispersion may be a cause for concern. Unexplained dispersion in results might be evidence of a quality control problem. Managers monitor return dispersion as a measure of their success in implementing particular strategies across their client base. The standards require the reporting of a dispersion statistic together with the asset-weighted returns. There are two types of dispersion statistics, asset-weighted and equal-weighted. Asset-weighted dispersion statistics show the dispersion of returns to the average dollar invested in the composite. These are the appropriate statistics to use if we are interested in the dispersion of returns unaffected by how the assets were grouped into portfolios. For example, if a composite had one very large fund and nine smaller funds, the asset-weighted composite dispersion statistics would not be greatly in uenced by the performance of the smaller accounts. Alternatively, we could calculate equal-weighted dispersion statistics. These are indications as to the variability in returns experienced by the owners of the individual portfolios. Small and large funds have an equal in uence on these statistics. We look at some asset-weighted statistics rst.

Function REVERSETEXT(text) As Variant Returns its argument, reversed If Application.ISNONTEXT(text) Then REVERSETEXT = CVErr(xlErrNA) Else REVERSETEXT = StrReverse(text) End If End Function

p(x)

Scheme 8-10

MythTV packages now include most of the needed software packages to use FireWire capturing as dependencies. However, one extra package, libiec61883-utils, must be installed by hand. This package provides some utilities to work with the FireWire video subsystem. This package can be installed with the following command:

2 satis es n Hmin for all n so that interval (8.52) will contain a positive value. A smaller generally leads to larger trees and longer running times, but results in greater accuracy. Wu shows that the choice = Hmin/2 leads to option prices that fall

FIGURE 4.1-3

a(t v)

a(t s)

FireWire is Apple Computer s trademark name for the IEEE (pronounced eye triple e) 1394 FireWire is a very fast external connection bus that can connect up to 63 devices and transmit data at up to 400 Mbps It supports plug-and-play connectivity and is a very common interface on today s computer hardware FireWire has become the de facto standard for high-performance digital video devices such as camcorders and now cable receivers, such as the Motorola DCT 6200 The Motorola DCT 6200 cable receiver has become a very popular device for cable television providers to lease or sell to their customers This unit is very nice and has an added bonus of a FireWire port (The port is an optional feature, so you must request a unit with the FireWire port from your cable TV provider.

This chapter will further describe various operators and how they can be grouped with other Python types in the later sections. After becoming familiar with the Python syntax, you will learn how to use variables in Python.

Those who could most effectively threaten their prized status quo are unlikely to do much about it Such reluctance in turn denies any.