This note describes methods to test for distributional treatment effects under the conditional independence assumption. The differences between latent outcome distributions are judged by testing hypotheses of distributional equality and stochastic dominance. Furthermore, semiparametric efficient versions of the test statistics are given. The latter test statistics are double robust, i.e., they ...

We propose a benchmarking strategy that is robust in the presence of timer error, OS jitter and other environmental fluctuations, and is insensitive to the highly nonideal statistics produced by timing measurements. We construct a model that explains how these strongly nonideal statistics can arise from environmental fluctuations, and also justifies our proposed strategy. We implement this stra...

The present paper discusses robustness against outliers in a principal component analysis (PCA). We propose a class of procedures for PCA based on the minimum psi principle, which unifies various approaches, including the classical procedure and recently proposed procedures. The reweighted matrix algorithm for off-line data and the gradient algorithm for on-line data are both investigated with ...

Normality is a common assumption for many quality control charts. One should expect misleading results once this assumption is violated. In order to avoid this pitfall, we need to evaluate this assumption prior to the use of control charts which require normality assumption. However, in certain cases either this assumption is overlooked or it is hard to check. Robust control charts and bootstra...

Descriptive statistics is the process of summarizing gathered raw data from a research and creating useful statistics, which help the better understanding of data. According to the types of variables, which consist of qualitative and quantitative variables, some descriptive statistics have been introduced. Frequency percentage is used in qualitative data, and mean, median, mode, standard deviat...

Traditional quantile estimators that are based on one or two order statistics a common way to estimate distribution quantiles the given samples. These robust, but their statistical efficiency is not always good enough. A more efficient alternative Harrell-Davis estimator which uses weighted sum of all statistics. Whereas this approach provides accurate estimations for light-tailed distributions...

This contribution provides an overview of practical applications of similarity-based fuzzy orderings. These applications include flexible database querying, robust statistics, natural language semantics, and fuzzy rulebased machine learning.

6 During the 20th century, population ecology and science in general relied on two very 7 different statistical paradigms to solve its inferential problems: error statistics (also 8 referred to as classical statistics and frequentist statistics) and Bayesian statistics. A great 9 deal of good science was done using these tools, but both schools suffer from technical 10 and philosophical difficu...

Space-time (ST) coding has emerged as an effective strategy to enhance performance of wireless communications in fading environments. Many different ST coding schemes have been proposed to achieve reliable communications in independent fading channels. However, a design of robust ST codes for correlated fading channels has not been addressed. In this paper, we propose a simple robust ST coding ...

the paper discusses the location-allocation model for logistic networks and distribution centers through considering uncertain parameters. in real-world cases, demands and transshipment costs change over the period of the time. this may lead to large cost deviation in total cost. scenario based robust optimization approaches are proposed where occurrence probability of each scenario is not know...