behind rank or nonparametric statistical methods. Given predictor variable X and outcome variable Y, we may estimate D(YX) as … somersd package allows the estimation of Somers’ D and Kendall’s tau-a with confidence limits as well as p-values. The Stata 9 … version of somersd can estimate extended versions of Somers' D not previously available, including the Gini index, the …

) maximization of the difference between the profit of one firm and that of the other firm, 2) (Ratio case) maximization of the ratio … efficient (lower cost) firm in the ratio case is larger than that in the difference case and the price of the good of the more … efficient firm in the ratio case is lower than that in the difference case. For the less efficient firm (higher cost firm) we …

) maximization of the difference between the profit of one firm and that of the other firm and (2) (ratio case) maximization of the … efficient (lower cost) firm in the ratio case is larger than that in the difference case and the price of the good of the more … efficient firm in the ratio case is lower than that in the difference case. For the less efficient (higher cost) firm we obtain …

In this work, the exact finite-sample distribution of the median absolute deviation about the median (MAD) of … parameter of a location–scale model, which are robust to the presence of outliers. …

Distribution-free (nonparametric) control charts provide a robust alternative to a data analyst when there is lack of … continuous distribution. The nonparametric EWMA chart combines the advantages of a nonparametric control chart (known and robust … knowledge about the underlying distribution. A two-sided nonparametric Phase II exponentially weighted moving average (EWMA …

the likelihood of a person being identified. Methods: In 1998, we developed a nonparametric method for analyzing …

from this basic requirement by presenting an algorithm for nonparametric estimation of conditional quantiles when both the … for untransformed discrete response data and one for rank-transformed response data. We establish asymptotic properties of …

from this basic requirement by presenting an algorithm for nonparametric estimation of conditional quantiles when both the … for untransformed discrete response data and one for rank-transformed response data. We establish asymptotic properties of …