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- Title
Certain nonparametric classification rules and their asymptotic efficiencies.
- Authors
Govindarajulu, Z.; Gupta, A. K.
- Abstract
The article presents research which examined the asymptotic efficiencies of two nonparametric classification rules. The researchers analyzed the effectiveness of the rules when applied in univariate populations having different changes of scale and location shifts. They also assessed the consistency of the classification procedure when the distributions of numbers are fixed in the Pitman sense.
- Subjects
ASYMPTOTIC efficiencies; MATHEMATICAL statistics; NONPARAMETRIC statistics; DISTRIBUTION (Probability theory); PROBABILITY theory; PITMAN'S measure of closeness
- Publication
Canadian Journal of Statistics, 1977, Vol 5, Issue 2, p167
- ISSN
0319-5724
- Publication type
Article
- DOI
10.2307/3314775