Open AccessAnalysis of variance for strip plot design with missing values: bias correction of the mean squares
Author(s) -
Khoirin Nisa,
Nurmaita Hamsyiah,
Mustofa Usman,
Warsono
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1524/1/012049
Subject(s) - statistics , missing data , mathematics , plot (graphics) , variance (accounting) , value (mathematics) , explained sum of squares , least squares function approximation , split plot , accounting , estimator , business , randomized block design
Missing values in strip plot design cause an unbalanced design. As a result, several problems occur in analyzing the data. This paper presents the estimation of two and three missing values from strip-plot design with the fixed model using the Yates approach. However, the estimation toward the missing values in strip-plot design causes bias on the treatment mean squares which is shown by its expected value. To omit the bias caused by the estimated values, a procedure of Satterthwaite-Cochran approximation is applied. The procedure corrects the bias and gives an adjusted analysis of variance for the hypothesis test.