๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

The asymptotic distribution of the maximum likelihood estimator for a vector time series model with long memory dependence

โœ Scribed by S. Sethuraman; I.V. Basawa


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
362 KB
Volume
31
Category
Article
ISSN
0167-7152

No coin nor oath required. For personal study only.

โœฆ Synopsis


A vector time series model with long-memory dependence is introduced. It is assumed that, at each time point, the observations are equi-correlated. The model is based on a fractionally differenced autoregressive process (long-memory) adjoined to a Gaussian sequence with constant autocorrelation. The maximum likelihood estimators for the parameters in the model are derived and their asymptotic distributions are obtained.


๐Ÿ“œ SIMILAR VOLUMES


The asymptotics of maximum-likelihood es
โœ Di Chen; Jye-Chyi Lu ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 654 KB

This article derives the asymptotic results of the maximum-likelihood estimates of the parameters in the general bivariate continuous distribution for the data type, in which the failure time and the censoring variables are dependent. This data type is motivated from life-testing two-component paral

On the asymptotic distribution of a mult
โœ Jeffrey T. Terpstra; M.Bhaskara Rao ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 176 KB

This paper introduces a new class of estimates for estimating the parameters of a vector autoregressive time series. The estimates minimize a sum of weighted pairwise Euclidean distances and extend the univariate GR-estimates of Terpstra et al. (Statist. Probab. Lett. 51 (2001) 165; Statist. Inferen

A simplified method of predicting the ou
โœ M. Ohta; H. Yamada ๐Ÿ“‚ Article ๐Ÿ“… 1986 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 628 KB

Most of the usual studies on a sound insulation system were introduced from the deterministic viewpoint in the frequency domain. This paper presents for the first time a fairly simplified identification method applicable to the actual situation of a sound insulation system under the introduction of