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Conditional heteroscedasticity has often been used in modelling and understanding the variability of statistical data. Under a general set-up which includes nonlinear time series models as a special ...
We propose the structure of heteroscedastic variances by using some specified variance functions and some covariates with unknown parameters. Under this setting, we construct moment-type estimators of ...
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