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文章基本信息

  • 标题:Covariance Structures of Linear Models
  • 本地全文:下载
  • 作者:Arjun K. Gupta ; D. G. Kabe
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2011
  • 卷号:7
  • 期号:2-Sp
  • DOI:10.1234/pjsor.v7i2-Sp.298
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:Young, Scariano, and Hallum (2005) study two univariate linear regression models, and establish a certain condition for the variances estimates to be equal; however, the condition is in error. They then apply this incorrect condition to some unknown completely randomized design model. The present paper records the correct condition for the equality of the context variances, and points out that this condition cannot be applied to experimental design models.
  • 关键词:equality of regression parametric estimates, equality of the covariances,Randomized Blocks design,full rank generalized inverse,generalized inverse,Moore-Penrose inverse
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