The construction and analysis of repeated measurement designs (RMD) using the trial and error method

• Authors: Shakeel A. Mir , Immad A. Shah

Abstracts

EN

Repeated measurement designs prove broadly applicable in almost all branches of biosciences, including agriculture, animal husbandry, botany, zoology. Unbiased estimators for elementary contrasts among direct and residual effects are obtainable in this class of designs, which is considered their important property. In this paper, an attempt was made to provide a new method of overcoming a drawback in the construction method developed by Afsarinejad (1983), where one or more treatments may occur more than once in certain sequences causing the constructed designs to no longer remain uniform in the examined periods. Nine designs were constructed and presented jointly with their corresponding mathematical analyses.

Keywords

EN

residual effects; order effects; balanced minimal rmd

• Publisher: Główny Urząd Statystyczny
• Journal: Statistics in Transition new series
• Year: 2021
• Volume: 22
• Issue: 1
• Pages: 131-144

Contributors

author

Shakeel A. Mir

• Professor & Head, Division of Agricultural Statistics, SKUAST-Kashmir, India

• https://orcid.org/0000000172219835

author

Immad A. Shah

• Ph.D. Statistics/SRF, Division of SAF, Faculty of Forestry, SKUAST-Kashmir, India

• https://orcid.org/0000000327615112

Identifiers

DOI

10.21307/stattrans-2021-007

Biblioteka Nauki

1363623