نتایج جستجو برای: d optimal experimental design
تعداد نتایج: 2362030 فیلتر نتایج به سال:
The sample preparation of samples containing bovine serum albumin (BSA), e.g., as used in transdermal Franz diffusion cell (FDC) solutions, was evaluated using an analytical quality-by-design (QbD) approach. Traditional precipitation of BSA by adding an equal volume of organic solvent, often successfully used with conventional HPLC-PDA, was found insufficiently robust when novel fused-core HPLC...
abstract this study examines the effect of teaching lexical inferencing strategies on developing reading comprehension skill of iranian advanced efl learners. participants were female students of meraj and shokouh institudes of garmsar a quasi-experimental design using two intact advanced classes of efl students at meraj and shokouh institutes. as the first step, a general toefl proficiency te...
Technology-based interventions to promote health are expanding rapidly. Assessing the preliminary efficacy of these interventions can be achieved by employing single-case experiments (sometimes referred to as n-of-1 studies). Although single-case experiments are often misunderstood, they offer excellent solutions to address the challenges associated with testing new technology-based interventio...
The equivalence theorem is the most important of experimental design. For single response, D-optimal continuous design and equal allocation already exist. However, for multiresponse mixture experiments has not been investigated. In this paper, we study problem find that maximize variance function to number response. designs are illustrated by two examples.
anxiety is one common disorder during childhood. in curing anxiety disorders, there are different types of psychological remedies, pharmotherapy, family therapy, and music therapy that can improve the individual’s anxiety, but we need some other remedies to improve social and emotional relationship and interactions. considering the importance of curing the anxiety disorders, the effect of sand ...
D-optimal regression designs under random block-e ects models are considered. In addition to selecting design points, an experimenter also needs to specify how they are grouped into blocks. We rst consider minimum-support designs, which are supported on the minimum number of design points. In this case, it is shown that a D-optimal design can be obtained by combining a D-optimal block design (f...
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