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Efficiency of Neighbouring Designs for First Order Correlated Models

Author:

R. Senthil kumar

Loyola College, Chennai – 600034 (TN), IN
About R. Senthil
Department of Statistics
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Abstract

The comparison of efficiency of Complete and Incomplete Nearest Neighbour Balanced Block Designs over regular block design using average variance, generalized variance and min-max variance with the error term e given in the NNBD model follows using first order correlated models. It is observed that, RH and RD show increasing efficiency values for direct and neighbour effects (left and right) for MA(1) models. The RA and RG show neither increasing nor decreasing efficiency values are observed for direct and neighbouring effects for AR(1) and MA(1) models. In the case of ARMA(1,1) model, neither increasing nor decreasing efficiency values have been observed for average variance and generalized variance. The RE shows decreasing efficiency values with p in the interval 0.1 to 0.4 for direct and neighbouring effects for AR(1), MA(1) and ARMA(1,1) models.
How to Cite: kumar, R.S., 2018. Efficiency of Neighbouring Designs for First Order Correlated Models. Sri Lankan Journal of Applied Statistics, 19(2), pp.14–37. DOI: http://doi.org/10.4038/sljastats.v19i2.8020
Published on 30 Dec 2018.
Peer Reviewed

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