Rerandomization refers to experimental designs that enforce covariate balance. This paper studies the asymptotic properties of the difference-in-means estimator under rerandomization, based on the ...

Abstract: Usually, it is very difficult to determine the exact distribution for a test statistic. In this paper, asymptotic distributions of locally most powerful invariant test for independence of ...

Peto et al. (1980) proposed a combined test statistic for carcinogenicity studies in a pooled analysis of incidental and fatal tumours. For the analysis of the incidental tumours one needs to divide ...

Abstract: Federated learning (FL) is a collaborative machine learning (ML) paradigm based on persistent communication between a central server and multiple edge devices. However, frequent ...

Department of Mathematics, Sciences and Technology, Paine College, Augusta, USA. Connectivity is one of the most fundamental properties of multi-hop wireless networks. It is the premise for enabling a ...

Twenty years have elapsed since the Shapiro-Wilk statistic W for testing the normality of a sample first appeared. In that time a number of statistics that are close relatives of W have been found to ...

We derive an asymptotic series expansion for the burst size distribution in the equal load sharing fiber bundle model, a predominant model for breakdown in disordered media. Earlier calculations give ...

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 ...

The transfer distance (TD) was introduced in the classification framework and studied in the context of phylogenetic tree matching. Recently, Lemoine et al. (2018) showed that TD can be a powerful ...