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Detection of changes in INAR models

Publication at Faculty of Mathematics and Physics |
2015

Abstract

In the present paper we develop on-line procedures for detecting changes in the parameters of integer valued autoregressive models of order one. Tests statistics based on probability generating functions are constructed and studied.

The asymptotic behavior of the tests under the null hypothesis as well as under certain alternatives is derived