Premium
CLASSIFICATION, DISTRIBUTIONS AND ADMISSIBILITY IN AUTOREGRESSIVE PROCESS
Author(s) -
Bandyopadhyay Shibdas
Publication year - 1978
Publication title -
australian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 41
eISSN - 1467-842X
pISSN - 0004-9581
DOI - 10.1111/j.1467-842x.1978.tb01105.x
Subject(s) - autoregressive model , process (computing) , construct (python library) , computer science , pattern recognition (psychology) , support vector machine , unit (ring theory) , statistics , artificial intelligence , mathematics , data mining , econometrics , programming language , operating system , mathematics education
Summary The problem considered here is to classify a unit into one of two populations based on a vector of measurements on the unit. The observation vector is assumed to follow an auto‐regressive process. Samples from the process are used to construct classification rules. The distributions of some classification statistics are obtained. The admissibility of some classification rules is established.