Standard approaches to constructing nonparametric confidence bands for functions are frustrated by the impact of bias … overcome this problem it is common practice to either undersmooth, so as to reduce the impact of bias, or oversmooth, and … thereby introduce an explicit or implicit bias estimator. However, these approaches, and others based on nonstandard smoothing …

Standard approaches to constructing nonparametric confidence bands for functions are frustrated by the impact of bias … overcome this problem it is common practice to either undersmooth, so as to reduce the impact of bias, or oversmooth, and … thereby introduce an explicit or implicit bias estimator. However, these approaches, and others based on nonstandard smoothing …

the sampling frame and (ii) NT and UN respondents. It also explores whether these differences lead to under-coverage bias … and evaluates the impact of current post-adjustment strategies on the total under-coverage bias as well as on its two …

shows the large sample validity of the kernel block bootstrap and derives the higher order bias and variance of the kernel … estimator has a favourable higher order bias property. Simulations based on the designs of Paparoditis and Politis (2001 …

shows the large sample validity of the kernel block bootstrap and derives the higher order bias and variance of the kernel … estimator has a favourable higher order bias property. Simulations based on the designs of Paparoditis and Politis (2001 …

bias of the robust standard error estimator. This approach contrasts with the conventional bandwidth choice rule for … squared asymptotic bias. It turns out that the optimal bandwidth for interval estimation has a different expansion rate and is … the sample autocovariances. The underlying parameter (M) that controls this tuning process is a bandwidth or truncation …

bias and variance in the value function estimates that result from empirical estimates of the model parameters. We provide … closed-form approximations for the bias and variance, which can then be used to derive confidence intervals around the value …