Author(s):
1. Abimibola Victoria Oladugba:
Department of Statistics, University of Nigeria,Nsukka,Nigeria
2. Emmanuel Ogochukwu Ossai:
Department of Statistics, University of Nigeria,Nsukka,Nigeria
Abstract:
Missing data are inevitable problem in almost every research such as experimental and observational researches. In this paper, we proposed a non-iterative least square formulae for estimating missing data in rectangular lattice designs (simple and triple) without repetitions of the basic design using the intra-block information when one or more observations are missing. A numerical example was used to show the applicability of the proposed formulae in terms of estimated values, standard errors and p-value. Results showed that the estimated values were significantly approximate to the complete data which indicate the effectiveness of the proposed formulae for estimating missing data in rectangular lattice designs without repetitions.
Page(s):
207-224
DOI:
DOI not available
Published:
Journal: Pakistan Journal of Statistics, Volume: 36, Issue: 3, Year: 2020
Keywords:
repetition
,
treatments
,
bias
,
missing data
,
Rectangular lattice designs
,
noniterative least square estimate
References:
References are not available for this document.
Citations
Citations are not available for this document.