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TABLE 10 Changes in Speci cation of Excipients (Addition of New Test Limit): Comparison between Guidelines Guidelines TGA Documentation Details of the test method must be provided. Appropriate validation data have been generated for the test method. The limits proposed are based on batch analytical data and are in compliance with of cial standard and/or relevant accepted guidelines if applicable. Comparative table of current and proposed speci cations. Batch analysis data on two production batches for all tests in the new speci cation. Where appropriate, comparative dissolution pro le data for the nished product on at least one pilot batch containing the excipient complying with the current and proposed speci cation. For herbal medicinal products, comparative disintegration data may be acceptable. Type of Change Self-assessable changes

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Under very general conditions, the maximum likelihood estimator is consistent. In Section 4.2, an estimator has been defined as consistent if the number of observations can be chosen such that, if exceeded, the probability that an estimate deviates absolutely more than specified from the true parameter value becomes arbitrarily small. The most general and rigorous proof of consistency of maximum likelihood available in the literature does not require the likelihood function to be differentiable. However, this proof and other, more heuristic or specialized ones assume the observations to be independent and identically distributed around their expectations. This does not mean that a maximum likelihood estimator is necessarily not consistent if the observations are not iid around their expectations. Also, in the rigorous proof, there are a number of further conditions to be met, some of which are, unfortunately, quite demanding for the nonmathematician, are difficult to verify in practice, or both. Nevertheless, it is generally agreed in the literature that although not all maximum likelihood estimators are consistent, the conditions under which they are consistent are very general. Furthermore, an estimator that is not consistent may nevertheless suit the experimenter's ends. This is demonstrated by the following example.

Among the Maven build status output, you should see the output from executing the class:

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After you ve placed a table, you can then enter data into the table. The cursor is automatically placed in the first cell, and you can just start typing. Press Tab to move to the next cell. Continue in this way until you have completed the table. Figure 13-22 shows an example of a table. Figure 13-22: A nicely styled schedule of parts.