Premium
Tests for a Single Outlier in a Gamma Sample with Unknown Shape and Scale Parameters
Author(s) -
Kimber A. C.
Publication year - 1979
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2347194
Subject(s) - outlier , normality , transformation (genetics) , scale (ratio) , mathematics , statistics , sample (material) , maximum likelihood , physics , geography , cartography , thermodynamics , biochemistry , chemistry , gene
S ummary Three tests for a single outlier are proposed and applied to gamma samples with unknown parameters; one based on the principle of maximum likelihood, the others using a transformation of the variables to approximate normality. Percentage points are tabulated where necessary. The performance of the tests in the presence of a single outlier is investigated in detail and their behaviour when two outliers are present is also considered.