
Efficiency of Neighbouring Designs for First Order Correlated Models
By: R. Senthil kumar
Open Access
|Dec 2018Abstract
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.
DOI: https://doi.org/10.4038/sljastats.v19i2.8020 | Journal eISSN: 2424-6271
Language: English
Page range: 14 - 37
Published on: Dec 30, 2018
Published by: The Institute of Applied Statistics, Sri Lanka
In partnership with: Paradigm Publishing Services
Keywords:
© 2018 R. Senthil kumar, published by The Institute of Applied Statistics, Sri Lanka
This work is licensed under the Creative Commons License.