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Additional properties of polynomials de ned over the Galois eld GF(2m ) can be found in Appendix B. In the following, and for notational simplicity, addition and multiplication will be denoted by + and . , instead of being denoted by the modulo-2 operation symbols and . The polynomial description de ned over a given Galois eld, and, in particular, when it is the binary eld, allows us a more suitable analysis of a cyclic code Ccyc (n, k). In this polynomial representation, the variable X is used in its exponential form X j , where j identi es the position of 1 s in the code vector equivalent to the polynomial. This is the same as saying that if the term X j exists in the polynomial corresponding to a given code vector, there is a one 1 in position j of that code vector or codeword, while if it does not exist, this position is occupied by a zero 0 . Therefore, the polynomial expression c(X ) of a code vector c = (c0 , c1 , . . . , cn 1 ) is of the form of equation (1) c(X ) = c0 + c1 X + + cn 1 X n 1

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There are any number of reasons why you might want to make changes en masse directly through the database. There are some tasks that you simply cannot do from the MT admin interface. Issuing a single SQL statement is infinitely faster than slogging through page load after page load., checking checkboxes, clicking Submit buttons, and waiting for popup windows to pop to accomplish the same task. Being able to modify 10,000 records in less than one second is raw, unadulterated power. Conversely, there is no safety net (unless of course, you ve backed up). By issuing direct SQL commands, you are bypassing the benevolent protection of MT and taunting the terrible demon of catastrophic data loss. Luckily (or infuriatingly, depending on your perspective), MySQL is extremely finicky about syntax, so if you miss a quote mark you won t destroy the world; you ll simply get an error.

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When distributions differ, the wrong standard error is being used, which causes practical problems Methods for dealing with heteroscedasticity have been derived by Fligner and Policello (1981), Mee (1990), and Cliff (1994), as well as by Brunner and Munzel (1999) The techniques derived by Cliff and Brunner and Munzel are particularly interesting because they include methods for dealing with tied values Skewness and the Bootstrap The central limit theorem says that under random sampling and with a suf ciently large sample size, it can be assumed that the distribution of the sample mean is normal Moreover, Student s T approaches a normal distribution as well, but a practical concern is that it approaches a normal distribution more slowly than X does when sampling from a skewed distribution (eg, Wilcox, 2001) The problem is serious enough that power is affected, as previously demonstrated.

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One approach is to replace Student s T and its heteroscedastic analogs with a bootstrap-t method This approach is motivated by two general results First, the theory indicates that problems with nonnormality will diminish more rapidly than with more conventional methods To provide a rough idea of what this means, note that under nonnormality there will be some discrepancy between the actual and nominal level value for , the probability of a Type I error When sample sizes are large, the rate at which conventional (heteroscedastic) methods converge to the correct nominal level is 1/ n In contrast, methods based on the bootstrap-t converge at the rate of 1/n namely, faster This does not necessarily imply, however, that with small to moderate sample sizes, problems with low power due to skewness will be negligible with a bootstrap technique.

When the United States entered World War I in 1917, a large number of recruits needed to be classified based on their intellectual and psychological functioning. The U.S. Army Medical Department contacted the current

Use off-site storage: A re safe can help to thwart burglars from stealing information about your identity, but it can t fend off serious res, oods, or other natural disasters To ensure that your most important documents and valuables have the utmost protection, store them in a secure off-site location such as a safe-deposit box at your bank Items commonly stored off-site include birth certi cates, social-security cards, mortgage/loan papers, CDs/DVDs containing crucial data, jewelry, and so on Lock all ling cabinets: If you use ling cabinets to store important papers such as credit-card statements, bank statements, and investments transactions, then lock the cabinet to deter burglars from stealing those documents and using the information to commit identity theft A word to the wise: Even a strong, metal ling cabinet that has been securely locked can still be broken into, so consider storing your most important papers off-site.

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