For stationary second order autoregressive normal processes, the conjecture of uniqueness of the solution of the exact likelihood equations is examined. A sufficient condition for uniqueness is given; this condition is satisfied with very high probability if the number of observations is not extremely small. Moreover, it is shown that not more than two maxima may exist. Examples of data which actually produce a likelihood function with two local maxima are given.

On the unimodality of the exact likelihood function for normal AR(2) series

MINOZZO, Marco;
1993-01-01

Abstract

For stationary second order autoregressive normal processes, the conjecture of uniqueness of the solution of the exact likelihood equations is examined. A sufficient condition for uniqueness is given; this condition is satisfied with very high probability if the number of observations is not extremely small. Moreover, it is shown that not more than two maxima may exist. Examples of data which actually produce a likelihood function with two local maxima are given.
1993
Autoregressive model; Maximum likelihood; Second order autoregression; Uniqueness of the maximum likelihood estimate
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/231910
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