Results 221 to 230 of about 4,093 (257)
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A NOTE ON EMBEDDING A DISCRETE PARAMETER ARMA MODEL IN A CONTINUOUS PARAMETER ARMA MODEL

Journal of Time Series Analysis, 1987
Abstract. We have shown that it is not always possible to embed a real‐valued discrete parameter Gaussian AR(1) model in a real‐valued continuous parameter Gaussian AR(1). The problem with general ARMA models is also discussed.
Chan, K. S., Tong, H.
openaire   +1 more source

ARMA MODELS WITH ARCH ERRORS

Journal of Time Series Analysis, 1984
Abstract.This paper considers the class of ARMA models with ARCH errors. Maximum Likelihood and Least Squares estimates of the parameters of the model and their covariance matrices are noted and incorporated into techniques for model building based upon the application of the usual Box‐Jenkins methodology of identification, estimation and diagnostic ...
openaire   +1 more source

ARMA MODELLING WITH NON‐GAUSSIAN INNOVATIONS

Journal of Time Series Analysis, 1988
Abstract.The problem of modelling time series driven by non‐Gaussian innovations is considered. The asymptotic normality of the maximum likelihood estimator is established under some general conditions. The distribution of the residual autocorrelations is also obtained. This gives rise to a potentially useful goodness‐of‐fit statistic.
McLeod, AI, Li, WK
openaire   +4 more sources

The quality of models for ARMA processes

IEEE Transactions on Signal Processing, 1998
The model error (ME) is an objective measure for assessing the quality of different models of a given ARMA process. The expression for ME can be evaluated easily in the time domain. This quality measure for known and given processes is necessary for an objective comparison of the performance of estimation algorithms and of order selection criteria.
openaire   +2 more sources

ARMA Models

2022
Wayne A. Woodward   +2 more
openaire   +1 more source

AR and ARMA model order selection for time-series modeling with ImageNet classification

Signal Processing, 2021
Jihye Moon   +2 more
exaly  

ARMA models

2020
Sotiris Tsolacos, Mark Andrew
openaire   +1 more source

Daily Streamflow Time Series Modeling by Using a Periodic Autoregressive Model (ARMA) Based on Fuzzy Clustering

Water (Switzerland), 2022
Mahshid Khazaeiathar   +2 more
exaly  

ARMA Models

2019
Robert H. Shumway, David S. Stoffer
openaire   +1 more source

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