数独方格设计中缺失值的估计

None Shehu A., None Dauran, N. S., None Usman, A. G.
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引用次数: 0

摘要

缺失值或缺失数据在实验中发生的原因有几个,这些原因可能是自然的,也可能是由于实验人员的失败而发生的。当缺失值出现时,会造成分析偏差,影响分析效率。该研究考虑了数独方块的顺序设计,其中行块和列块相等,行和列相等,缺少一个值。通过比较拉丁顺序平方和随机块设计的缺失值来估计缺失值,推导了缺失值的估计量,并给出了数值说明,说明了在平方数独设计中如何使用估计量来获得缺失值的估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of Missing Value in Sudoku Square Design
Missing values or missing data occur in experiments as a result of several reasons, these reasons could be natural or it happened due to failure on the part of experimenter. When missing value occurred it causes biasness to the analysis and failure in the efficiency. The study considered the Sudoku square design of order where row-blocks and column-blocks are equal, rows and columns are equal with one missing value. The missing value is estimated by comparing the missing value in respect to Latin square of order and also in respect to randomized block design, the estimator for the missing value is derived and numerical illustration is given to show how the estimator is used to obtain the estimate of a missing value when and in a squared Sudoku design.
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