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  2. A Comparison between Bayes Method and Robust Bounded B. M. Huber Method to Estimate The Generilized Autoregressive Conditional Heteroscedastic GARCH (1,1) be using Special Simulation Program

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A Comparison between Bayes Method and Robust Bounded B. M. Huber Method to Estimate The Generilized Autoregressive Conditional Heteroscedastic GARCH (1,1) be using Special Simulation Program

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Abstract

In this paper a comparison between (bayes) method and robust bounded B. M. Huber method was done to estimate the Generilized Autoregressive Conditional Heteroscedastic GARCH(1,1) , The comparison between the two methods will be using MSE criterion using special simulation program prepared for this purpose and then display the results in tables to illustrate the comparison process.

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AL-Qadisiyah Journal  For Administrative and Economic sciences
Volume 18, Issue 1
December 2017
Pages 257-267
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How to cite
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
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  • HARVARD
  • VANCOUVER
Statistics
  • Article View: 327
  • PDF Download: 210

APA

(2017). A Comparison between Bayes Method and Robust Bounded B. M. Huber Method to Estimate The Generilized Autoregressive Conditional Heteroscedastic GARCH (1,1) be using Special Simulation Program. AL-Qadisiyah Journal For Administrative and Economic sciences, 18(1), 257-267.

MLA

. "A Comparison between Bayes Method and Robust Bounded B. M. Huber Method to Estimate The Generilized Autoregressive Conditional Heteroscedastic GARCH (1,1) be using Special Simulation Program". AL-Qadisiyah Journal For Administrative and Economic sciences, 18, 1, 2017, 257-267.

HARVARD

(2017). 'A Comparison between Bayes Method and Robust Bounded B. M. Huber Method to Estimate The Generilized Autoregressive Conditional Heteroscedastic GARCH (1,1) be using Special Simulation Program', AL-Qadisiyah Journal For Administrative and Economic sciences, 18(1), pp. 257-267.

VANCOUVER

A Comparison between Bayes Method and Robust Bounded B. M. Huber Method to Estimate The Generilized Autoregressive Conditional Heteroscedastic GARCH (1,1) be using Special Simulation Program. AL-Qadisiyah Journal For Administrative and Economic sciences, 2017; 18(1): 257-267.

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