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Error Normality Testing in a Model of Two‐Way Nested Classification
Author(s) -
Brzeskwiniewicz Henryk,
Wagner Wiesław
Publication year - 1994
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710360112
Subject(s) - normality , mathematics , normality test , statistics , normal distribution , residual , statistical hypothesis testing , algorithm
The paper deals with the construction of a normality test for the verification of the assumption about normal distribution of random errors in a fixed model of two‐way nested classification. For this purpose adequate linear transformations and orthogonal observable random vectors have been presented. To the adjusted residual vector obtained after these transformations, the D'Agostino normality test has been applied.