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  • 标题:Properties of Weighted Least Squares Regression for Cutoff Sampling in Establishment Surveys
  • 本地全文:下载
  • 作者:James R. Knaub
  • 期刊名称:Interstat
  • 印刷版ISSN:1941-689X
  • 出版年度:2009
  • 期号:Dec
  • 出版社:Virginia Tech
  • 摘要:

    Ordinary least squares (OLS) regression gets most of the attention in the statistical literature, but for cases of regression through the origin, say for use with skewed establishment survey data, weighted least squares (WLS) regression is needed. Here will be gathered some information on properties of weighted least squares regression, particularly with regard to regression through the origin for establishment survey data, for use in periodic publications

  • 关键词:classical ratio estimator; coefficient of heteroscedasticity; model-based estimation; regression through the origin; regression weights; sample; survey
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