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. . . . . . . . . . .

For instance,

Proof: The proof of this inequality may be found in [38] and [73]. We de ne a generalization of the entropy. De nition The Renyi entropy hr (X) of order r is de ned as hr (X) = 1 log 1 r f r (x) dx (17.96)

0.04 0.035 0.03 0.025 0.02 0.015 0.01 0.005 0

7:9

1. 2.

Kettenring, J. R., 176 Ketter, T., 299 Keveles, G., 202 Khoo, S.-T., 624, 626 Kiecolt-Glaser, J. K., 256 Kiesler, D. J., 409, 412, 416, 417, 424 Killen, J. D., 555 Kim, J., 176, 679 Kim, J. Y., 309 Kim, W. J., 309 Kimura, D., 301 King, D. W., 300 Kingston, M. D., 381 Kinne, S., 246 Kinsbourne, M., 303 Kircher, J. C., 257 Kirchner, P., 309 Kirk, 280 Kirk, R. E., 3, 8, 10, 13, 14, 18, 26, 29, 31, 498 Kixmiller, J. S., 291 Klassen, D., 202 Klein, J. P., 576 Klein, R. G., 301 Kleinbaum, D. G., 559 Kleiner, B., 179 Klerman, G. L., 563 Klesges, L. M., 555 Klesges, R. C., 555 Kline, M., 40 Klinke, S., 41 Knable, M. B., 310 Knecht, S., 300 Knight, R. T., 294 Koch, W. J., 195, 196, 197, 198, 199, 200, 202 Koegl, C. J., 202 Koeppe, R. A., 308 Koepsell, T., 246 Koepsell, T. D., 558, 559 Koerner, K., 249 Ko inch, G., 299 Kohlberg, L., 674 Kohn, K. W., 182 Koivisto, J., 310 Kolb, R. R., 667 Kolbinger, H., 299 Kolen, M. J., 429 Koot, H. M., 571 Kornreich, M., 232 Kortenkamp, S., 299 Koss, M. P., 397 Kosslyn, S., 42 Kotrla, K. J., 310 Kotze, T. J., 305 Kovalski, T. M., 411 Kowalchuk, R. K., 36 Kownacki, R., 250 Kraemer, H. C., 67, 72, 79, 565 Kramer, L., 300, 312 Krantz, D. H., 635 Krantz, D. S., 254, 256, 258, 261 Krassnig, H., 558 Kreft, I., 629 Kropp, P. R., 198, 201, 202 Krueger, R. A., 340, 341 Kruggel, F., 305 Krull, J., 491, 502, 503 Krull, J. L., 622 Kruskal, J. B., 167

Example 6.7 This example uses a three-site system depicted in Figure 6.17. The application of the deadlock detection algorithm results in the following steps:

De nitions Synchronous Transport Module (STM). An STM is the information structure used to support section layer connections in the SDH. It is analogous to STS in the SONET regime. STM consists of information payload and section overhead (SOH) information elds organized in a block frame structure that repeats every 125 ms.

In this case, the randomized block design will be less powerful than the completely randomized design because its error variance, the denominator of the F statistic, has n 1 fewer degrees of freedom than the error variance for the completely randomized design It should be obvious that the nuisance variable should be selected with care The larger the correlation between the nuisance variable and the dependent variable, the more likely it is that the block effects will account for an appreciable proportion of the total variation in the experiment Latin Square Design The Latin square design described in this section derives its name from an ancient puzzle that was concerned with the number of different ways that Latin letters can be arranged in a square matrix so that each letter appears once in each row and once in each column.

where a u i is a modulo-2 multiplication. It can be shown that the addition and scalar multiplication t the associative, commutative and distributive laws, so that the set of vectors Vn is a vector space de ned over the binary eld GF(2). Example 2.1: The vector space of vectors with four components consists of 24 = 16 vectors: V4 = {(0000), (0001), (0010), (0011), (0100), (0101), (0110), (0111), (1000), (1001), (1010), (1011), (1100), (1101), (1110), (1111)} The addition of any two of these vectors is another vector in the same vector space: (1011) (0010) = (1001) For each vector of this vector space, there are only two scalar multiplications: 0 (1011) = (0000) 1 (1011) = (1011)