矩形格设计中缺失值的估计

Q3 Mathematics

Journal of Modern Applied Statistical Methods Pub Date : 2019-09-03 DOI:10.22237/jmasm/1567468800

E. O. Ossai, A. Oladugba

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引用次数: 0

摘要

利用残差平方和最小化的方法，推导了在重复矩形网格设计中，当一个或多个观测值丢失时，估计丢失数据的代数表达式。结果表明，估计值与实际值非常接近。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Estimation of Missing Values in Rectangular Lattice Designs

Algebraic expressions for estimating missing data when one or more observation(s) are missing in Rectangular lattice designs with repetition were derived using the method of minimizing the residual sum of squares. Results showed that the estimated value(s) were significantly approximate to that of the actual value(s).

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来源期刊

Journal of Modern Applied Statistical Methods STATISTICS & PROBABILITY-

CiteScore

0.50

自引率

0.00%

发文量

期刊介绍： The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.