Modified Maximum Likelihood Estimation in Autoregressive Processes with Generalized Exponential Innovations

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ISSN Print: 2161-718X
ISSN Online: 2161-7198
www.scirp.org/journal/ojs
E-mail: ojs@scirp.org

"Modified Maximum Likelihood Estimation in Autoregressive Processes with Generalized Exponential Innovations"
written by Bernardo Lagos-Álvarez, Guillermo Ferreira, Emilio Porcu,
published by Open Journal of Statistics, Vol.4 No.8, 2014

has been cited by the following article(s):

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[2]	Linear Time Series Models with Non-Gaussian Innovations
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[1]	Bootstrap choice of non-nested autoregressive model with non-normal innovations Monte Carlo Methods and Applications, 2023 DOI:10.1515/mcma-2023-2010

[2]	A Type I Generalized Logistic Distribution: Solving Its Estimation Problems with a Bayesian Approach and Numerical Applications Based on Simulated and Engineering Data Symmetry, 2022 DOI:10.3390/sym14040655

[3]	A Type I Generalized Logistic Distribution: Solving Its Estimation Problems with a Bayesian Approach and Numerical Applications Based on Simulated and Engineering Data Symmetry, 2022 DOI:10.3390/sym14040655

[4]	Non-Gaussian Autoregressive-Type Time Series 2021 DOI:10.1007/978-981-16-8162-2_6

[5]	Non-Gaussian Autoregressive-Type Time Series 2021 DOI:10.1007/978-981-16-8162-2_6

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