Statistical decisions under nonparametric a priory information

Published: 1 January 1989| Version 1 | DOI: 10.17632/gv22p9wv5y.1
A.A. Chilingarian


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)



Computational Physics, Elementary Particle