DocumentCode
3248593
Title
Strong approximation of the recursive prediction error estimator of the parameters of an ARMA process
Author
Gerencsér, László
Author_Institution
Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
fYear
1989
fDate
13-15 Dec 1989
Firstpage
630
Abstract
A theorem that settles a conjecture formulated by Tusnady is presented. The proof uses a uniqueness theorem on the asymptotic likelihood equation
Keywords
approximation theory; parameter estimation; time series; ARMA process; approximation theory; asymptotic likelihood equation; recursive prediction error estimator; time series; uniqueness theorem; Automation; Computer errors; Cost function; Difference equations; Parameter estimation; Polynomials; Recursive estimation; Zinc;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location
Tampa, FL
Type
conf
DOI
10.1109/CDC.1989.70194
Filename
70194
Link To Document