This paper develops a concrete formula for the asymptotic distribution of two-step, possibly non-smooth semiparametric M-estimators under general misspecification. Our regularity conditions are ...

Asymptotic theory, on the other hand, can provide approximate results that are more robust and flexible, as they depend less on the specific distribution or shape of the data.

We identify the asymptotic behavior of the estimators proposed by Rojo and Samaniego and Mukerjee of a distribution F assumed to be uniformly stochastically smaller than a known baseline distribution ...

To the best of our knowledge, there are no theoretical results on asymptotic distribution of the number of isolated nodes in the network obtained by rigorous analytical studies with the realistic ...

Approximation: Asymptotic theory provides a way to approximate the distribution of estimators and test statistics, which can be useful when the exact distribution is difficult to determine.

We thoroughly investigate the asymptotic distribution of sum of multiple signal-to-interference-plus-noise-ratios (SINRs) that could be applied to the outage performance evaluation of integrated ...

The distribution of the characteristic roots of the sample covariance matrix is studied for multivariate populations with finite fourth cumulants. For large sample sizes, the asymptotic forms of the ...

R-bootstrapping-inferred-asymptotic-distribution Bootstrapped inferred asymptotic distribution for instrumental variables regressions Author: Marco Hassan This work was completed as a final assignment ...

PoreLab, Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway We derive an asymptotic series expansion for the burst size distribution in the equal load sharing ...