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Alternative to the least square coefficient of determination, Rsquared OLS, the coefficient of determination based on median absolute deviation, Rsquared MAD, is an attractive consideration in the construction of goodnessoffit test based on regression and correlation, due to its robustness. This book focused on the observations made from the resulting plots and descriptive measures obtained from contaminated standard logistic distribution. Contamination is introduced to investigate perseverance of robustness property of Rsquared MAD for samples from the standard logistic distribution. The early section of the book is devoted to the investigation of the symmetricity of the sampling distribution of Rsquared MAD and its confidence intervals in the presence of outliers. This is followed by constructing tables of critical values for samples from the standard logistic distribution. Then a power study on the goodnessoffit test using test statistic ZMAD and ZOLS is conducted via simulation. The results indicated that the test statistic ZMAD is able to discriminate the sample that comes from alternative distributions as the test statistic ZOLS.
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