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  • 标题:Multiple Taxicab Correspondence Analysis of a Survey Related to Health Services
  • 本地全文:下载
  • 作者:Vartan Choulakian ; Jacques Allard ; Biagio Simonetti
  • 期刊名称:Journal of Data Science
  • 印刷版ISSN:1680-743X
  • 电子版ISSN:1683-8602
  • 出版年度:2013
  • 卷号:11
  • 期号:2
  • 页码:205-229
  • 出版社:Tingmao Publish Company
  • 摘要:We present an analysis of a health survey data by multiple cor-respondence analysis (MCA) and multiple taxicab correspondence analysis(MTCA), MTCA being a robust L1 variant of MCA. The survey has onepassive item, gender, and 22 active substantive items representing healthservices o ered by municipal authorities; each active item has four answercategories: this service is used, never tried, tried with no access, non re-sponse. We show that the rst principal MTCA factor is perfectly charac-terized by the sum score of the category this service is used over all serviceitems. Further, we prove that such a sum score characterization alwaysexists for any survey data.
  • 关键词:First factor success; multiple correspondence analysis; multiple;taxicab correspondence analysis; non response; outliers; sum score.
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