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The first part of this analysis was motivated by the observation that not much has been stated about possible errors for the different statistical measures mention above.
In this case, there are |C| observations in the dataset, and the total number of parameters is 3 km + m - 1: m - 1 for probabilities of subclusters, km for cluster centers, and 2 km for error probabilities in each letter: there are 3 possible errors for each letter, and the probabilities should sum up to one.
Indeed, the number of site-specific nt substitutions significant across lanes by ANOVA (p < 0.05) decreased from 95%to2727%, 84%to11%1%, and 82% to 13% of all possible errors for the 5C.C7, OT-1, and DO11.10 TCR respectively by increasing the phred cutoff from 0 to 30.
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The best reduced model is a refined model that offers the lowest possible error for a given number of variables.
Let the minimum possible error for this model be E min. Hence the equation becomes Ŝ ( z ) = E min 1 − ∑ k = 1 m a k z − k (23).
Various combinations of values were tried out to give the least possible error for the training dataset.
The maximum possible error for the angles values at end movement (i.e., the angle values reported in Table 3) was, under unfavourable and pessimistic conditions, estimated to be 7 degrees for AAF R and 6.5 degrees for EA R in the RM and 4.8 degrees for EA M in the HtMM.
And the MTMDs designed by accounting for possible errors of estimate are more robust than those without consideration of errors.
This leaves open the possibility, they say, that not all possible errors have been accounted for.
For experimental results, examine the methods carefully for possible errors or biases.
That makes developing software faster and testing it for possible errors easier.
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