Applying the generalized autoregressive conditional Heteroskedastic model to analyze and forecast the field failure data of repairable systems

Author： Liang Yi-Hui

Publisher： Emerald Group Publishing Ltd

ISSN： 0265-671X

Source： International Journal of Quality & Reliability Management, Vol.30, Iss.7, 2013-07, pp. : 737-750

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Forecasting field failure data for repairable systems using neural networks and SARIMA model

By Tong Lee-Ing Liang Yi-Hui

International Journal of Quality & Reliability Management, Vol. 22, Iss. 4, 2005-04 ,pp. : 410-420

Emerald Group Publishing Ltd

Access to resources Recommend Favorite

Trend testing for complex repairable systems

By Bohoris George A

International Journal of Quality & Reliability Management, Vol. 13, Iss. 6, 1996-06 ,pp. : 18-28

Emerald Group Publishing Ltd

Access to resources Recommend Favorite

Analyzing and forecasting the reliability for repairable systems using the time series decomposition method

By Liang Yi-Hui

International Journal of Quality & Reliability Management, Vol. 28, Iss. 3, 2011-03 ,pp. : 317-327

Emerald Group Publishing Ltd

Access to resources Recommend Favorite

Availability modeling of repairable systems using Markov system dynamics simulation

By Naikan V.N.A

International Journal of Quality & Reliability Management, Vol. 32, Iss. 5, 2015-05 ,pp. : 517-531

Emerald Group Publishing Ltd

Access to resources Recommend Favorite

Development of a new reliability prediction model for predicting the reliability of repairable products

By Liang Yi-Hui

International Journal of Product Development, Vol. 7, Iss. 3-4, 2009-02 ,pp. : 218-230

Inderscience Publishers

Access to resources Recommend Favorite