Statistical decisions under nonparametric a priory information
收藏Mendeley Data2023-02-23 更新2024-06-26 收录
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Abstract
A program is developed for simular and experimental data handling. The main purposes are: the choice of the model most precisely describing the experiment, classification of particles and interaction processes. Procedures used: Bayes error calculation, K nearest neighbour density estimation, “Leave-one-out-at-a-time” test. Used nonparametric methods provide quantitative comparison of multivariate distribution mixture classification. Applications: high energy physics, cosmic ray physics. ...
Title of program: KNN
Catalogue Id: ABHS_v1_0
Nature of problem
Choice of theoretical model most precisely describing experimental data, extraction of events of a definite type, classification of particles and interaction processes.
Versions of this program held in the CPC repository in Mendeley Data
ABHS_v1_0; KNN; 10.1016/0010-4655(89)90098-2
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
创建时间：
2019-12-22
