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Besides the overall model chi-square statistic, where smaller values indicate better fit, multiple indices were used to examine the fit of the models.
Direct examination was unreliable when multiple indices were used or compared [ 4].
Multiple indices were used as they provide a more comprehensive evaluation of model fit.
Multiple indices were constructed by using various numbers of randomly selected deficits that either have or have not been associated with dementia risks.
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In this paper, only harmonics with following multiple indices and fundamental multiple indices are involved in calculation: m = 1 (n = 0,1,2,4,5), m = 2 (n = 0,1,2,4,5).
Unfortunately, reporting of multiple indices is often not done.
Finally, taking into account that the interpretation of multiple indices is not clearly established, further studies should comprehensively analyse the application of DTI indices to the understanding of complex interactions between vascular disease and degeneration.
The tradeoff of multiple indexes is an important factor needing to be considered in the process of designing a nanopositioner.
To support a rich set of queries, multiple indexes are necessary.
To improve rank correlation analysis, vector similarity is used to determine the expert weight, thus the comprehensive weight value with multiple indexes are calculated and the final assessment results are synthesized.
The complexity of the concept of accessibility and of its perception by travellers implies that ideally multiple indexes are to be used in accessibility studies, to provide a better depiction of how individuals respond to the spatial structure of travel opportunities, and configurations and modalities of the transportation networks [35, 36].
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