https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Abuhasel_2026b 2026-04-05T21:12:50Z Revision history for this page on the wiki MediaWiki 1.27.0-wmf.10 https://www.scipedia.com/wd/index.php?title=Abuhasel_2026b&diff=329391&oldid=prev 2026-01-28T10:30:54Z

<p>Scipediacontent moved page <a href="/public/Review_214671150129" class="mw-redirect" title="Review 214671150129">Review 214671150129</a> to <a href="/public/Abuhasel_2026b" title="Abuhasel 2026b">Abuhasel 2026b</a></p> <table class="diff diff-contentalign-left" data-mw="interface"> <tr style='vertical-align: top;' lang='en'> <td colspan='1' style="background-color: white; color:black; text-align: center;">← Older revision</td> <td colspan='1' style="background-color: white; color:black; text-align: center;">Revision as of 10:30, 28 January 2026</td> </tr><tr><td colspan='2' style='text-align: center;' lang='en'><div class="mw-diff-empty">(No difference)</div> </td></tr></table>

Scipediacontent https://www.scipedia.com/wd/index.php?title=Abuhasel_2026b&diff=329367&oldid=prev 2026-01-28T09:42:26Z

<p>JSanchez moved page <a href="/public/Draft_Sanchez_Pinedo_527974181" class="mw-redirect" title="Draft Sanchez Pinedo 527974181">Draft Sanchez Pinedo 527974181</a> to <a href="/public/Review_214671150129" class="mw-redirect" title="Review 214671150129">Review 214671150129</a></p> <table class="diff diff-contentalign-left" data-mw="interface"> <tr style='vertical-align: top;' lang='en'> <td colspan='1' style="background-color: white; color:black; text-align: center;">← Older revision</td> <td colspan='1' style="background-color: white; color:black; text-align: center;">Revision as of 09:42, 28 January 2026</td> </tr><tr><td colspan='2' style='text-align: center;' lang='en'><div class="mw-diff-empty">(No difference)</div> </td></tr></table>

JSanchez https://www.scipedia.com/wd/index.php?title=Abuhasel_2026b&diff=329366&oldid=prev 2026-01-28T09:42:24Z

<p>Created page with &quot; == Abstract == &lt;p&gt;The exact estimations of population mean under the influence of indeterminacy and data contamination are a long-standing issue in survey sampling. Traditio...&quot;</p> <p><b>New page</b></p><div><br /> == Abstract ==<br /> <br /> &lt;p&gt;The exact estimations of population mean under the influence of indeterminacy and data contamination are a long-standing issue in survey sampling. Traditional ratio-type estimators are highly sensitive to influential observations, and the neutrosophic methods that are currently used do not effectively describe robustness in the face of uncertainty. The current research constructs a generalized family of neutrosophic robust ratio-type estimators that are developed in the context of Robust and Efficient Weighted Least Square Estimation (REWLSE) framework. Bias and mean square error (MSE) expressions are analytically derived for Ordinary Least Squares (OLS) and REWLSE frameworks in order to allow extensive comparisons between theory and efficiency. Monte Carlo simulations on neutrosophic data are systematically used to study the finitesample behavior of proposed estimators, and an empirical evaluation of these estimators is done using actual temperature data. The simulation and empirical evidence have repeatedly shown that suggested REWLSEbased neutrosophic estimators have significant efficiencies, they remain highly resistant to outliers, and perform better than OLS-based ones. These results support the effectiveness of the suggested framework and highlight its potential to become a powerful and trustworthy alternative to population mean estimation in uncertain, imprecise, and contaminated data environments.OPEN ACCESS Received: 13/10/2025 Accepted: 12/11/2025 Published: 23/01/2026&lt;/p&gt;<br /> <br /> <br /> <br /> == Document ==<br /> &lt;pdf&gt;Media:Draft_Sanchez Pinedo_527974181-3753-document.pdf&lt;/pdf&gt;</div>

JSanchez