This paper considers the derivation of a new lower bound for the generalized discrete discrepancy of designs involving mixed level factors.
A theoretical upper bound is derived on the scaled integrated mean squared error in terms of the discrepancy of the design, and this bound can be used to choose designs that are both efficient and robust under model uncertainty.
The marginal and internal discrepancies of computer-aided design and computer-aided manufacturing (CAD-CAM) endocrowns are unknown.
The conclusion of this paper is that measures targeted by human factors evaluation methods can be grouped into six categories: system performance, task performance, teamwork, use of resources, user experience, and identification of design discrepancies.
This article studies uniformity in terms of Lee discrepancy of double designs.
New lower bounds to the centered and wrap-around L2-discrepancies of extended designs are obtained.
The results from an indirect comparison must be interpreted with caution due to heterogeneous study design, discrepancies of disease severity at baseline, and differences in analytical methodologies.
Furthermore, consensus on suicide attempt risk factors is still unclear because of their complexity, and the generalizability of previous research may be limited due to discrepancies of cultural context, study populations, design, and data analysis.
The predicted load carrying capacity of strengthened columns has discrepancies between design codes.
As a pilot study with a small sample size aiming to probe the research direction of this problem, the result of medium-sized effect magnitude is likely to implicate that the discrepancy of different representational design on students' performance of spatial ability assessment is noteworthy.
