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1 (n = 5) 221 052 (n = 2) 180 049 (n = 2) 126 52 (n = 4) Nontransfected 290 85 (n = 10, P < 0001) 28 04 (n = 10, P < 0001) 53 02 (n = 10, P < 0001) 887 35 (n = 6, P > 005) 384 70 (n = 6, P = 0001) 1333 511 (n = 6, P < 0001) 34 09 (n = 6, P < 0001) 05 01 (n = 6, P < 0001) 141 19 (n = 6, P = 0015) 38 09 (n = 6, P < 0001) 436 71 (n = 6, P > 005) 311 0.

(2.58)

20 (n = 2, P > 005) 104 012 (n = 2, P > 005) 30 4 (n = 3, P < 003).

The time at the horizontal blanking pulse, 2 5 in Figure 14.3, is called the horizontal synchronizing interval; The interval 2 3 in Figure 14.3 is called the front porch; The interval 4 5 is called the back porch.

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1. IEEE 802.11 WG, Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) speci cation, IEEE, New York, Aug. 1999. 2. M. Gast, 802.11 Wireless Networks: The De nitive Guide, 2nd ed., O Reilly Media Inc., 2005. 3. IEEE 802.11e, Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) speci cations: amendment 8: Medium access control (MAC) quality of service enhancements, supplement to IEEE 802.11, IEEE, New York, Nov. 2005. 4. S. Mangold, S. Choi, G. R. Hiertz, O. Klein, and B. Walke, Analysis of IEEE 802.11e for QoS support in wireless LANs, IEEE Wireless Commun. 10(6), 40 50 (2003). 5. Y. Xiao, IEEE 802.11e: a QoS provisioning at the MAC layer, IEEE Wireless Commun. 11(3), 72 79 (2004). 6. Y. Xiao, IEEE 802.11N: enhancements for higher throughput in wireless LAN, IEEE Wireless Commun. 12(6), 82 91 (2005). 7. Y. Xiao, Ef cient MAC strategies for the IEEE 802.11n wireless LANs, Wireless Commun. Mobile Comput. 6(4), 453 466 (2006). 8. IEEE 802.11b, Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) speci cations: High-speed physical layer extension in the 2.4 GHz band, supplement to IEEE 802.11, IEEE, New York, Sept. 1999. 9. IEEE 802.11a WG, Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) speci cation: high-speed physical layer in the 5 GHz band, IEEE, New York, Sept. 1999.

Two other points should be mentioned about interaction effects in logistic regression First, as in linear regression, cross-product terms typically induce multicollinearity among the regressors involved because the cross product tends to be highly correlated with its component parts One nal advantage of centering continuous predictors, as outlined by Aiken and West (1991), is that it tends to reduce this collinearity substantially Second, in that the model is inherently interactive in the probabilities, what changes with a cross-product term in the model The principal difference is that using a cross-product term allows interaction effects in the probabilities to be disordinal, whereas without it the interaction is constrained to be ordinal The descriptors ordinal and disordinal (Kerlinger, 1986) refer to degrees of interaction When the impact of the focus variable differs only in magnitude across levels of the moderator, the interaction is ordinal.

If the nature (or direction) of the impact changes over levels of the moderator, the interaction is disordinal Without a cross-product term, the partial slope of X k on the probability is, as noted earlier, k [ (x)(1 (x))] Because [ (x)(1 (x))] > 0, the impact of X k on the probability always has the same sign, regardless of the settings of the Xs in the model; that is, k [ (x)(1 (x))] takes on whatever sign k takes Hence, the effect of X k can only differ in magnitude, but not direction, with different values of the Xs With a cross product in the model of the form X k X j , however, the partial slope for X k on the probability becomes ( k + X j )[ (x)(1 (x))].

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