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PERFORMANCE OF STUDENTIZED RANGE STATISTIC FOR TWO OUTLIERS IN A LINEAR MODEL
Authors:S. Lalitha  P.C. Joshi
Affiliation:Indian Statistical Institute New-Delhi 110016, India;Department of Mathematics Indian Institute of Technology Kanpur 208016, India
Abstract:Abstract. In JOSHI and LALITHA (1986) a statistic K is proposed for detecting two outliers present in the opposite directions in a linear model. This statistic reduces to the Studentized range statistic for the case of a simple random sample from a normal population. In this paper, the performance of this statistic is studied. For this an approximate non–null density of the random variables involved in defining the statistic is derived. An exact density is also obtained by using the methods of LALITHA and JOSHI (1986), where the results are proved for Murphy's statistic. A measure of performance is then defined and an example is also given for highlighting the usage of the above said statistic.
Keywords:Bonferroni inequality    internally studentized range statistics    linear model    Monte Carlo method    Murphy's test    normal distribution    outliers    performance    power function    significance probability    weighted residuals
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