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  • 标题:Efficiency of Neighbouring Designs for First Order Correlated Models
  • 本地全文:下载
  • 作者:R. Senthil kumar
  • 期刊名称:Sri Lankan Journal of Applied Statistics
  • 印刷版ISSN:1391-4987
  • 电子版ISSN:2424-6271
  • 出版年度:2018
  • 卷号:19
  • 期号:2
  • 页码:14-37
  • DOI:10.4038/sljastats.v19i2.8020
  • 出版社:The Institute of Applied Statistics, Sri Lanka
  • 摘要: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.
  • 关键词:Auto regressive moving average; Nearest neighbour; Regular block design; Average variance; Generalized variance; Min-max variance
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