Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Synergizing Neutrosophy and Randomized Blocks Design: Development and Analytical Insights Subject The topic of the resource Design of Experiment, Randomised Block Design; Neutrosophic Completely Randomised design; Neutrosophic Randomised Block Design; Neutrosophy Description An account of the resource The design of the experiment is a strategy for effectively examining the relationship between input design parameters and process output and developing a greater understanding. A randomized block design is an experimental design that has two primary factors and is widely used in agriculture, environment, biological, animal, and food sciences, where experimental material is heterogeneous and precise. In a randomised block design, one or more observations may lose their true significance due to an accident, poor handling, pest infestations in agricultural trials, or other factors. It is prudent to treat this value as missing and estimate it. In todays practical situations, uncertainty and inaccuracies are inevitable in most research areas. It is important to handle such data, which can lead to inaccurate and unreliable results. Neutrosophy is the branch of philosophy that provides an efficient method to study impreciseness among the data. Some of the common sources of Neutrosophy in randomised block design are incorrect blocking factor selection, measurement error, subjective factors, and natural variability. It is paramount to handle the Neutrosophy in a randomised block design; otherwise, it may lead to various problems, like a high risk of false positives. In this paper, the Neutrosophic Randomised Block Design (NRBD) is introduced to tackle data impreciseness. The study also, outlines a methodology for estimating missing observations in NRBD and presents its analysis. Additionally, the study compares the efficiency of NRBD to that of the Neutrosophic Completely Randomised Design (NCRD). 2024, American Scientific Publishing Group (ASPG). All rights reserved. Creator An entity primarily responsible for making the resource Kumari S.; Azarudheen S. Source A related resource from which the described resource is derived International Journal of Neutrosophic Science, Vol-23, No. 1, pp. 125-133. Publisher An entity responsible for making the resource available American Scientific Publishing Group (ASPG) Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.54216/IJNS.230111" target="_blank" rel="noreferrer noopener">https://doi.org/10.54216/IJNS.230111</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178403591&amp;doi=10.54216%2FIJNS.230111&amp;partnerID=40&amp;md5=5fabad8bde274743ff19145cef86e5c7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178403591&amp;doi=10.54216%2fIJNS.230111&amp;partnerID=40&amp;md5=5fabad8bde274743ff19145cef86e5c7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 26926148 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumari S., Department of Statisitcs and Data Science, CHRIST (Deemed to be University), Bangalore, India; Azarudheen S., Department of Statisitcs and Data Science, CHRIST (Deemed to be University), Bangalore, India