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Estimation of autoregressive models with epsilon-skew-normal innovations

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Author Info
Bondon, Pascal
Abstract

A non-Gaussian autoregressive model with epsilon-skew-normal innovations is introduced. Moments and maximum likelihood estimators of the parameters are proposed and their limit distributions are derived. Monte Carlo simulation results are analysed and the model is fitted to a real time series.

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File URL: http://www.sciencedirect.com/science/article/B6WK9-4VNH3RM-1/2/1365cf578461fda20802b331c99f016b
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Publisher Info
Article provided by Elsevier in its journal Journal of Multivariate Analysis.

Volume (Year): 100 (2009)
Issue (Month): 8 (September)
Pages: 1761-1776
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Handle: RePEc:eee:jmvana:v:100:y:2009:i:8:p:1761-1776

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Related research
Keywords: Non-Gaussian time series Autoregression Maximum likelihood estimation Skewness Skew-normal distribution;

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This page was last updated on 2009-12-30.


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