Impact of dependence on parameter estimates of autoregressive process with Gumbel distributed innovation
Recent studies have shown that independent identical distributed Gaussianrandom variables is not suitable for modelling extreme values observed during extremal events. However, many real life data on extreme values are dependent and stationary rather than the conventional independent identically dis...
Main Authors: | Samuel, Bako Sunday, Adam, Mohd Bakri, Fitrianto, Anwar |
---|---|
Format: | Article |
Language: | English |
Published: |
Department of Mathematics, Universiti Teknologi Malaysia
2018
|
Online Access: | http://psasir.upm.edu.my/id/eprint/74562/1/Impact%20of%20dependence%20on%20parameter%20estimates%20of%20autoregressive%20process%20with%20Gumbel%20distributed%20innovation.pdf |
Similar Items
-
Analyses of prior selections for Gumbel distribution
by: Rostami, Mohammad, et al.
Published: (2013) -
Inference for autoregressive and moving average models with extreme value distribution via simulation study
by: Samuel, Bako Sunday
Published: (2015) -
Alternative PWM-estimators of the gumbel distribution /
by: 493036 Tee, Boon Hui, et al.
Published: (2009) -
Hybrid conditional plot of goodness-of-fit for Gumbel distribution
by: Zainal Abidin, Nahdiya, et al.
Published: (2012) -
Statistical Inference on the Modified Gumbel Distribution Parameters
by: Hurairah, Ahmed Ali Omar
Published: (2006)