%A 1717031028 STEFANI INDAH CAROLINA
%T ANALISIS DATA HILANG PADA RANCANGAN
BUJUR SANGKAR YOUDEN
%X The problem of missing data often occurs in an experimental design, as well as in
Youden's Square Design (YSD) research. To overcome the problem of missing
data, it is necessary to estimate the missing data. Missing data is estimated by
Yates method where the sum of the squares of the error is minimized. The purpose
of the study was to estimate the value of missing data which was divided into two
cases, namely the case of one missing data and two missing data on the 5x4 YSD,
analyzing the results of the estimated value and seeing whether there was an effect
of the predicted results on the analysis to be carried out, as well as comparing the
two data cases. is lost.
Keyword: YSD, Missing Data, Yates, Analysis of Variance
The problem of missing data often occurs in an experimental design, as well as in
Youden's Square Design (YSD) research. To overcome the problem of missing
data, it is necessary to estimate the missing data. Missing data is estimated by
Yates method where the sum of the squares of the error is minimized. The purpose
of the study was to estimate the value of missing data which was divided into two
cases, namely the case of one missing data and two missing data on the 5x4 YSD,
analyzing the results of the estimated value and seeing whether there was an effect
of the predicted results on the analysis to be carried out, as well as comparing the
two data cases. is lost.
Keyword: YSD, Missing Data, Yates, Analysis of Variance
%C UNIVERSITAS LAMPUNG
%D 2021
%I FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM
%L eprints60450