✦ LIBER ✦

Application of multivariate autoregressive spectrum estimation to ULF waves

✍ Scribed by Ioannidis, George A.

Book ID: 119729024
Publisher: American Geophysical Union
Year: 1975
Tongue: English
Weight: 884 KB
Volume: 10
Category: Article
ISSN: 0048-6604
DOI: 10.1029/rs010i012p01043

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

ESTIMATION OF THE MULTIVARIATE AUTOREGRE

ESTIMATION OF THE MULTIVARIATE AUTOREGRESSIVE MOVING AVERAGE HAVING PARAMETER RESTRICTIONS AND AN APPLICATION TO ROTATIONAL SAMPLING

✍ Dong Wan Shin; Sahadeb Sarkar 📂 Article 📅 1995 🏛 John Wiley and Sons 🌐 English ⚖ 715 KB

Application of autoregressive (AR) techn

Application of autoregressive (AR) technique to BWR stability estimation

✍ T. Mitsutake; S. Tsunoyama; H. Namba 📂 Article 📅 1982 🏛 Elsevier Science 🌐 English ⚖ 494 KB

Autoregressive modeling of surface EMG a

Autoregressive modeling of surface EMG and its spectrum with application to fatigue

✍ Omry Paiss; Gideon F. Inbar 📂 Article 📅 1988 🏛 Elsevier Science 🌐 English ⚖ 181 KB

A New Class of Multivariate Skew Densiti

A New Class of Multivariate Skew Densities, With Application to Generalized Autoregressive Conditional Heteroscedasticity Models

✍ Bauwens, Luc; Laurent, Sébastien 📂 Article 📅 2005 🏛 American Statistical Association 🌐 English ⚖ 245 KB

Autoregressive spectral estimation by ap

Autoregressive spectral estimation by application of the Burg algorithm to irregularly sampled data

✍ Bos, R.; de Waele, S.; Broersen, P.M.T. 📂 Article 📅 2002 🏛 IEEE 🌐 English ⚖ 435 KB

Reparametrization of autoregressive mode

Reparametrization of autoregressive models with coefficients depending on covariables: application to EEG spectrum maturation

✍ I. Clark; R. Biscay; J. C. Jiménez 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 246 KB 👁 1 views

To describe the spectral characteristics of the EEG development through autoregressive (AR) time series models it is necessary to perform regression analysis of the AR parameters with regards to the age of the subject. A major difficulty in this approach is the very complex nature of the admissible