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By 2005, by which time Mr. Arnott was both marketing fundamentally weighted indexes and promoting their "profound" (his word) implications in the pages of The Financial Analysts Journal, his company had devised a much more complex weighting system, using revenue, earnings, dividends and book value.
A variant model [89], using a more complex weighting, has been used in this work.
Other, more complex weighting functions may produce even better results.
The simple moving average, U t, compares well with the estimates using the more complex weighting systems estimates.
As an alternative, more complex weighting approaches can be used when making certain assumptions about the underlying biology of the dose response relationship (e.g., concentration addition).
Since cPBs weight all linearly connected gene pairs uniformly, a more complex weighting procedure may be useful to explore in the future.
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More complex weight functions could be created if a process-based model of dispersion is available.
For OFA, the picture is more complex: weight is negatively correlated with pretreatment OFA (r = −0.37, P < 1 × 10−6), negatively correlated with gain postdrug (r = −0.38, P = 0.00011), but uncorrelated with gain post-placebo (r = −0.01, P = 0.89).
However, feature combination do not make sense always and the combined similarity function can be more complex than weight-based functions to better satisfy the users' expectations.
Plasma adiponectin circulates in several multimeric forms, i.e. trimeric low molecular weight (LMW), hexameric middle molecular weight (MMW) as well as more complex high molecular weight (HMW) structures [31].
In some cases, with simple designs such as with sibling pairs only, weighting of the data would come a long way in solving this problem, but with more complex family designs, weighting is not a satisfactory solution.
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