Row-column designs: a novel approach for analyzing imprecise and uncertain observations
Abdulrahman AlAita · Muhammad Aslam · Florentin Smarandache
Jan 2024 · Infinite Study
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15
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About this ebook
Classical row-column designs cannot be applied when the underlying data set contains some imprecise, uncertain, or undetermined observations. In this paper, we discuss row-column design under a neutrosophic statistical framework. A significant contribution of our study is to propose a novel approach to analyzing row-column designs using neutrosophic data. This approach involves calculating the neutrosophic analysis of variance (NANOVA) table for the proposed design and using it to derive the FN -test in an uncertain environment. Two numerical examples have been used to assess the proposed design’s performance. Results from the study indicated that a row column design under neutrosophic statistics was more efficient than a row-column design under classical statistics in the presence of uncertainty.
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