期刊論文

學年 90
學期 1
出版(發表)日期 2001-10-01
作品名稱 A note on determining the number of outliers in an exponential sample by least squares procedure
作品名稱(其他語言)
著者 Wu, Jong-wuu
單位 淡江大學統計學系
出版者 Springer
著錄名稱、卷期、頁數 Statistical Papers 42(4), pp.489-503
摘要 In this paper, we suggest a least squares procedure for the determination of the number of upper outliers in an exponential sample by minimizing sample mean squared error. Moreover, the method can reduce the masking or “swamping” effects. In addition, we have also found that the least squares procedure is easy and simple to compute than test procedure Tk, suggested by Zhang (1998) for determining the number of upper outliers, since Zhang (1998) need to use the complicated null distribution of Tk. Moreover, we give three practical examples and a simulated example to illustrate the procedures. Further, simulation studies are given to show the advantages of the proposed method. Finally, the proposed least squares procedure can also determine the number of upper outliers in other continuous univariate distributions (for example, Pareto, Gumbel, Weibull, etc.).
關鍵字 Least squares procedure;Upper outlier;Exponential distribution;Mean squared error;Order statistic;Pareto distribution
語言 en
ISSN 0932-5026
期刊性質 國外
收錄於
產學合作
通訊作者
審稿制度
國別 DEU
公開徵稿
出版型式 ,紙本
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