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  • 标题:Influence of the Fitted Straight Line for Confidence Bands Algorithm in Q-Q Plots
  • 本地全文:下载
  • 作者:Sonia Castillo-Gutiérrez ; María Dolores Estudillo-Martínez ; Emilio Damián Lozano-Aguilera
  • 期刊名称:Open Journal of Statistics
  • 印刷版ISSN:2161-718X
  • 电子版ISSN:2161-7198
  • 出版年度:2021
  • 卷号:11
  • 期号:6
  • 页码:925-930
  • DOI:10.4236/ojs.2021.116054
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:Confidence bands in a Normal Q-Q Plot allow us to detect non-normality of a data set rigorously, and in such a way that the conclusion does not depend on the subjectivity of the observer of the graph. In the construction of the graph, it is usual to fit a straight line to the plotted points, which serves both to check the hypothesis of normality (linear configuration of the plotted points) and to produce estimates of the parameters of the distribution. We can opt for dif-ferent types of lines. In this paper, we study the influence of five types of fitted straight lines in a Normal Q-Q Plot used for construction the confidence bands based on the exact distribution of the order statistics.
  • 关键词:Normal Q-Q Plot;Confidence Bands;Fitted Straight Line;Goodness of Fit
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