Median and trimmed-mean inflation rates tend to be useful estimates of trend over long periods, but they can exhibit persistent departures from the underlying shorter horizons. In this Commentary, we document that extent bias is related degree skewness in distribution price changes. The shift cross-sectional price-change during pandemic means median PCE have recently been understating by about ...

Averaging (in statistical terms, estimation of the location of data) is one of the most commonly used procedures in neuroscience and the basic procedure for obtaining event-related potentials (ERP). Only the arithmetic mean is routinely used in the current practice of ERP research, though its sensitivity to outliers is well-known. Weighted averaging is sometimes used as a more robust procedure,...

Background: Electromyographic (EMG) signals obtained from a contracted muscle contain valuable information on its activity and health status. Much of this information lies in motor unit potentials (MUPs) of its motor units (MUs), collected during the muscle contraction. Hence, accurate estimation of a MUP template for each MU is crucial. Objective: To investigate the possibility of improv...

The purpose of this study is to find the percentiles of fuzzy numbersand to demonstrate their applications, which include finding weightedmeans, dispersion indices, and the percentile intervals of fuzzy numbers. Thecrisp approximations of fuzzy numbers introduced in this paper are new andinteresting for the comparison of fuzzy environments, such as a variety of economic,financial, and engineeri...

Many techniques continue to be proposed so far to get rid of the noise through digital images with more optimistic method. Each technique has its very own drawbacks. Although Fuzzy Mean Median (FMM) has demonstrated promising results on the available techniques, given it utilizes the top features of data mining to get rid of mixed noise. This data mining method is employed to check which sort o...

The least trimmed squares (LTS) estimator and the trimmed mean are two well known trimming based estimators. Both estimates are popular in practice, and they are implemented in standard statistical softwares. In this paper, we compare the asymptotic variances of these two estimators in a location model, when the two location estimates have the highest breakdown point (i.e., 50%). Some interesti...

This paper represents a new algorithm which uses a trimmed global mean filter with ROAD to remove random impulse noise. A two step algorithm is implemented in which the first step ensure detection of corrupted pixels in the degraded image and the second step replaces the degraded image with either the median of uncorrupted pixels in the selected window and if the selected window contains noisy ...