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It would be good if we could nd a single statistic that encapsulates the idea of the range but avoids the problem of outliers by taking into account all of the deviations from the mean return rather than just the two biggest deviations, as in the range. An intuitive way to attempt to encapsulate in a single statistic the total variability of a series of returns would be to take the average of all of the return deviations. However, we cannot take the simple average because the sum of the return deviations is zero. To correct for this, we can instead take the absolute value of the deviations and then average them. The average of the absolute values of the return deviations is called the Mean Absolute Deviation (MAD) or Mean Deviation.

Figure 6.4-15 ATR response R calculated for ten internal reflections versus sample thickness for both polarizations. Transmittance is given for comparison. Parameters: nl = 2.4; p1 = 45"; 172 = 1.35; k2 = 0.03.

N The following characters can t be embedded in a function s name: #, $, %,

(See the Equals Sign section later in the chapter for an explanation of this syntax.) Then, to export that variable, you type

Values entered into an input box are interpreted as strings provided they contain alphanumeric characters. If the value entered is a number, the value can be handled as a numeric value. This means you can perform arithmetic operations on the input; for example:

1.0 9.0 15 16.1 47.6

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Application Enhancing the control environment within every business requires a blend of technology and people. Together the resulting process provides the competitive edge to sustain operations in the global marketplace. The capacity to engage, leverage, and enable the staff of the organization is essential to meeting the challenges of business and compliance pressures. A program should be developed that embraces the organization s culture, the needs of the control environment, and the management structure. The program described next should be embraced as a way to achieve a more effective and efficient technology environment by leveraging the human factor found within every organization. The logical place to start is the organizational structure and reporting responsibilities. As organizations grow and shift due to mergers and the like, functional job descriptions and associated responsibilities become inconsistent with actual daily tasks. Therefore, the organization should thoroughly evaluate the established job descriptions and responsibilities associated with all end users. This exercise should first seek to identify what already exists,

=PV(1%,60,10000,2081851.05,1)

Table 18.1 Comparing EFM OAM (802.3ah) and CFM (802.1ag)

(12.64) (12.64)

T. Nadeau ., OAM requirements for MPLS networks , draft-ietf-mpls-oam-requirements06.txt (work in progress) S. Delord ., PWE3 applications and OAM scenarios , draft-delord-pwe3-oam-applications01.txt (work in progress) Y. El Mghazli ., Framework for L3VPN operations and management , draft-ietf-l3vpnmgt-fwk-08.txt (work in progress) T. Nadeau and B. Van Der Linde, MPLS/BGP Layer 3 virtual private network management information base , draft-ietf-l3vpn-mpls-vpnmib-07.txt (work in progress) Recommendation Y.1710, in Requirements for OAM Functionality for MPLS Networks, 2002

Note: In this failure scenario, Bidirectional Forwarding Detection (BFD) may speed up the convergence to subseconds. However, BFD does not bring down the port when it detects a failure; it only noti es the upper-layer protocol. BFD cannot be enabled if the connection is a pure Layer 2 connection (for example, a link between the access port of a PE router and the Ethernet port of a CE switch).

with the initial condition x = x0 at t =0 (B.2.3)

Brigo and Mercurio claim that the inverse problem is essentially the reverse of that of nding the marginal density function of the solution of an SDE when the coef cients are known. In particular, (t, S(t)) can be found by solving the Fokker-Planck PDE, which is the equation that must be satis ed for the (random) asset price to be a martingale; that is, the PDE sets the drift of the stochastic process to 0. 1 2 p(t , y) = ( yp(t , y)) + ( 2 (t , y)y 2 p(t , y)) y 2 y 2 t (7.59)

2. Open the Resources panel and right-click the name of the window that you want to use the resources in, or right-click App.xaml if you want the resource dictionary to be available in the entire application. Choose Link To Resource Dictionary, and select the name of the resource dictionary from the list that appears.

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