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...

We shall be testing hypotheses about the population mean (it is assumed we know the variance of the population). We shall fail to reject the hypotesis if the obseved sample mean (x-bar) is close to the hypothesized population mean (μ). We will shall reject the hypothesis if the observed sample mean (x-bar) is far from the hypothesized population mean (μ). Distance will be measured in standard d...

In most clinical and experimental studies, the standard deviation (SD) and the estimated standard error of the mean (SEM) are used to present the characteristics of sample data and to explain statistical analysis results. However, some authors occasionally muddle the distinctive usage between the SD and SEM in medical literature. Because the process of calculating the SD and SEM includes differ...

We introduce a cardinality constrained multi-objective optimization problem for generating efficient portfolios within a fuzzy mean-absolute deviation framework. We assume that the return on a given portfolio is modeled by means of LR-type fuzzy variables, whose credibility distributions collect the contemporary relationships among the returns on individual assets. To consider credibility measu...

The standard deviation of column ozone from the zonal mean (COSDZ) provides a measure of the longitudinal inhomogeneity in ozone and dynamical wave activities in the atmosphere. Using the Total Ozone Mapping Spectrometer (TOMS) data, we obtain latitude-season maps of COSDZ that are representative of a dynamically quiet year (1987) and a dynamically active year (1992). The spatial and temporal p...