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Rating 6.1/10 on the particular index that was sent. For a typical codeword, there are two different sources of error when we use jointly typical decoding: Either the output Y n is not jointly typical with the transmitted codeword or there is some other codeword that is jointly typical with Y n . The probability that the transmitted codeword and the received sequence are jointly typical goes to 1, as shown by the joint AEP. For any rival codeword, the probability that it is jointly typical with the received sequence is approximately 2 nI , and hence we can use about 2nI codewords and still have a low probability of error. We will later extend the argument to nd a code with a low maximal probability of error. Detailed calculation of the probability of error: We let W be drawn according to a uniform distribution over {1, 2, . . . , 2nR } and use jointly typical decoding W (y n ) as described in step 6. Let E = {W (Y n ) = W } denote the error event. We will calculate the average probability of error, averaged over all codewords in the codebook, and averaged over all codebooks; that is, we calculate Pr(E) = pdf compressor software: PDF Compressor Download - CVISION Technologies combine pdf files software free online PDF Split and Merge - Download
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Rating 4.4 stars (22) 0.37 0.0 0.48 conditions of measurement under which the estimate will be obtained Internal Consistency It is also critical to examine the assumption of nonsubstantive facets of error when examining the method of internal consistency as an estimate of reliability Internal consistency is typically measured by splitting the items of a multi-item scale into two parts and determining the correlations between the parts; hence the use of the term split-half reliability to describe this technique Because the approach depends upon the particular split of items involved (eg, correlating odd and even items will not necessarily give the same result as correlating the rst and last halves of items on the scale), estimates of the results of all possible split-half combinations of items can be provided by the K-R 20 formula or by coef cient alpha, the generalized form of K-R 20 for nonbinary items with calculable item variances. best free pdf merger software PDF Split and Merge download | SourceForge.net
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