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On the Distribution Estimation of Power Threshold Garch Processes
- Source :
- Journal of Time Series Analysis. 37:579-602
- Publication Year :
- 2016
- Publisher :
- Wiley, 2016.
-
Abstract
- The aim of this paper is to estimate the probability distribution of power TGARCH processes by establishing bounds for their nite dimensional laws. These bounds only depend on the parameters of the model and on the distribu- tion function of its independent generating process. The application of this study to some particular models allows us to conjecture that this procedure is an ade- quate alternative to the corresponding estimation using the empirical distribution functions, particularly useful in the development of control charts for this kind of models.
- Subjects :
- Statistics and Probability
Conjecture
Distribution (number theory)
Applied Mathematics
Autoregressive conditional heteroskedasticity
05 social sciences
Function (mathematics)
01 natural sciences
Empirical distribution function
Power (physics)
010104 statistics & probability
0502 economics and business
Econometrics
Applied mathematics
Probability distribution
Control chart
0101 mathematics
Statistics, Probability and Uncertainty
050205 econometrics
Mathematics
Subjects
Details
- ISSN :
- 01439782
- Volume :
- 37
- Database :
- OpenAIRE
- Journal :
- Journal of Time Series Analysis
- Accession number :
- edsair.doi...........7bb49263b0a6cf6162332f8860002914
- Full Text :
- https://doi.org/10.1111/jtsa.12173