TY  - JOUR
TT  - Inference in “One-Way” Random Designs - Discussing Sub-D and ANOVA based Estimators
AU  - Silva, Adilson
PY  - 2020
DA  - December
JF  - Journal of Statistics and Applied Sciences
JO  - JSAS
PB  - Abdulkadir KESKİN
WT  - DergiPark
SN  - 2718-0999
SP  - 107
EP  - 118
VL  - 1
IS  - 2
LA  - en
KW  - Sub-D
KW  - ANOVA
KW  - Variance Components
KW  - One-way Designs
N2  - Recently it was shown through simulations studies that Sub-D produces estimates with unbiased and lower variance-covariance estimates than the ANOVA-based estimator, ex- cept in case of random “one-way” balanced designs. In this designs the simulations studies suggested they have the same variance-covariance estimates. This paper aims to compare the common ANOVA-based estimator to Sub-D in random “one-way” designs with two groups of treatment and in random “one-way” balanced designs. The comparison will be conducted through theoretical results and corroborated with simulation studies. It will be proved that the ANOVA-base estimator and Sub-D have exactly the same variance- covariance estimates in both above referred designs. The proof will be given firstly for random “one-way” designs with two groups of treatment and then for random “one-way” balanced designs.
CR  - João Tiago Mexia, Prof. Cat. of New University of Lisbon
UR  - https://dergipark.org.tr/tr/pub/jsas/article/842456
L1  - https://dergipark.org.tr/tr/download/article-file/1454055
ER  -