A bias-reduced estimator is proposed for the mean absolute deviation parameter of a median regression model. workaround devised lack smoothness in sense conventionally required general estimation. local asymptotic normality property and Bahadur--Kiefer representation suffice proving validity bias correction. The proposal developed under classical regime but, based on simulations, it seems to wo...

Hanza region is located in the southern part of Urumieh–Dokhtar Metallogenic belt in southeastern Iran. This region includes six known porphyry copper deposits and it is considered as an ore- bearing region from geochemical point of view. The aim of this research is to examine effective processing techniques in the analysis of stream sediment geochemical datasets and ASTER satellite images. The...

The utility of a recently developed, novel, computational digital image curation tool called SOCKS (Statistical Outlier Curation Kernel Software) is demonstrated in this paper. Raw image-data the James Webb Space Telescope (JWST) used for tests. Data decontaminated through an iterative, parametrically tuned sequence operations involving conditional flagging outliers, followed by flagged pixels....

The median absolute deviation about the median (MAD) is an important univariate spread measure having wide appeal due to its highly robust sample version. A powerful tool in treating the asymptotics of a statistic is a linearization, i.e., a Bahadur representation. Here we establish both strong and weak Bahadur representations for the sample MAD. The strong version is the first in the literatur...