Statistics rounding

The reason(s) for the success of ISM has to do with the fact that sequence space has been confined to defined locations in the protein that are most likely to respond positively in an additive or cooperative manner. In sharp contrast, when performing several rounds of epPCR (4—8 are typical ), the whole protein is addressed repeatedly although only a fraction of the amino acid positions are important. Owing to statistical reasons, a given improved mutant (hit) evolved by ISM is not... 

Note that when you obtain statistics from an ODS output data set, the results that you see there may appear different from what you see in your ODS listing destination (LST file). This is because a SAS procedure may round to a different precision in the ODS listing destination from the precision at which you present your ODS output statistics. The numbers are the same, but the way they are rounded may make the statistic appear different. 

The performance statistics, the SEE and the correlation coefficient show that including the square term in the fitting function for Anscombe s nonlinear data set gives, as we noted above, essentially a perfect fit. It is clear that the values of the coefficients obtained are the ones he used to generate the data in the first place. The very large /-values of the coefficients are indicative of the fact that we are near to having only computer round-off error as operative in the difference between the data he provided and the values calculated from the polynomial that included the second-degree term. 

The random selection in step (iii) is carried out by generating uniform random numbers U e [0, 1], For example, the index of a random particle selected from a set of N particles will be n = intup(//N) where intuP() rounds the argument up to the nearest integer. Note that for constant-density, statistically stationary flow, the effective flow rates will be constant. In this case, steps (i) and (ii) must be completed only once, and the MC simulation is advanced in time by repeating step (iii) and intra-cell processes. For variable-density flow, the mean density field ((p)) must be estimated from the notional particles and passed back to the FV code. In the FV code, the non-uniform density field is held constant when solving for the mean velocity field.15... 

Samples must be distributed regularly to participants who are to return results within a given time. The results will be statistically analysed by the organiser and participants will be notified of their performance. Advice will be available to poor performers and participants will be kept fully informed of the scheme s progress. Participants will be identified by code only, to preserve confidentiality. The scheme s structure for any one analyte or round in a series should be ... 

Singleton (107) have shown that there are statistical questions concerning the usual kinetic model analysis. Consequently, there is often some uncertainty in the reported kinetic constants, particularly E. For these reasons we give only the order of magnitude of L that is, in Tables V-VIII logL is rounded off to an integral value. 

Does it matter which way round the differences are calculated A — B or B — A No, as long as we are consistent across all of the patients it does not matter and will simply have the effect of changing the sign of the test statistic, but the p-value will remain unchanged. 

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