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The Linear Discriminant Function: Sampling from the Truncated Normal Distribution
Author(s) -
Kocherlakota S.,
Balakrishnan N.,
Kocherlakota K.
Publication year - 1987
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.4710290202
Subject(s) - linear discriminant analysis , mathematics , statistics , discriminant function analysis , truncation (statistics) , normal distribution , truncated normal distribution , sampling (signal processing) , optimal discriminant analysis , computer science , filter (signal processing) , computer vision
A study is made of the behaviour of the linear discriminant function in the classification of an observation when sampling from a truncated normal distribution. It is shown that the truncation proves ‘beneficial’ in that it reduces the error rates.