In this paper, a local 𝑀-estimation for the conditional variance function in heteroscedastic regression models under stationary α-mixing dependent samples is developed. The local 𝑀-estimator is ...

The exponentially weighted moving average (EWMA) estimator is widely used to forecast the conditional volatility of short-horizon asset returns. The EWMA estimator is appropriate when returns are ...

The estimation of the population variance of a study variable is an important task in survey sampling which has diverse applications in sectors like health sciences, finance, agriculture and ...

There are several approaches to dealing with heteroscedasticity. If the error variance at different times is known, weighted regression is a good method. If, as is ...

Statistical inference for measurement error models addresses the challenge of drawing valid conclusions when observed data are contaminated by errors in measurement ...