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The estimation of the bootstrap confidence interval for the LS score using B bootstraps will need O(Bn) calculations.
In this particular example, the PCC is -0.258 (P=0.272) while the LS score using 'simple' averaging method is 0.507 with a p-value of 0.006.
For a single pair of time series, the time complexity for calculating the LS score using the dynamic programming algorithm is O(n), where n is the number of time points.
Moreover, while we have no nationally comparable measures for MWB, a recent national survey using a version of the LS scale employed here [ 27] reported an average LS score of 7.4 (cv 7.57 here).
To verify the results, groups were formed consisting of the "stable satisfied" (LS score 1998 ≤ 11 and LS score 2005 ≤ 11; n = 197) and the "stable dissatisfied" (LS score 1998 ≥ 12 and LS score 2005 ≥ 12; n = 51).
In the "Methods" section, we describe the LSA algorithm for calculating LS score with replicates, data normalization, estimation of confidence interval for the LS score, and testing the statistical significance of a LS score.
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We also compared the NEWS-L score with the pneumonia severity index (PSI) and CURB-65.
θ 3: is used to determine the weight of the outage FUEs on the global F l score.
Next, the resulting power is further adjusted by the boosting factor (alpha _{F_{l}}^{k}) whose value is proportional to f(F l ) score.
We rank the position-specific features according to the K-L score whereby large distances are considered more informative.
K-L score = Kellgren and Lawrence.
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