Study of Covariates’ Effects in the Presence of Neighbor Effects : An Informative Review

Sobita  Sapam; Bikas K Sinha; KK Singh  Meitei

doi:10.3329/ijss.v24i1.72020

Study of Covariates’ Effects in the Presence of Neighbor Effects : An Informative Review

Authors

Sobita Sapam Department of Statistics, Manipur University, Imphal, Manipur, India.
Bikas K Sinha Retd. Professor, ISI, Kolkata, India
KK Singh Meitei Department of Statistics, Manipur University, Imphal, Manipur, India

DOI:

https://doi.org/10.3329/ijss.v24i1.72020

Keywords:

ANCOVA, Neighbor effects, Optimal covariate designs

Abstract

With reference to a Gauss-Markov Model, Analysis of Covariance (ANCOVA) is a standard exercise in the study of differential treatment effects in the presence of covariates. Again in the presence of ‘Neighbor Effects’, we carry out necessary data analysis in a routine manner. In this paper we present a review of this area of research, encompassing both covariates’ effects and neighbor effects.

International Journal of Statistical Sciences, Vol.24(1), March, 2024, pp 65-73

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Published

2024-03-28

How to Cite

Sapam, S. ., Sinha, B. K., & Meitei, K. S. . (2024). Study of Covariates’ Effects in the Presence of Neighbor Effects : An Informative Review. International Journal of Statistical Sciences , 24(1), 65–73. https://doi.org/10.3329/ijss.v24i1.72020