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Agreement of treatment effects in decentralised trials versus traditional trials: meta-epidemiological study.

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Chaboud L, Janiaud P, Hirt J, Hemkens LG.   +3 more
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Approximating median absolute deviation with bounded error

Proceedings of the VLDB Endowment, 2021
The median absolute deviation (MAD) is a statistic measuring the variability of a set of quantitative elements. It is known to be more robust to outliers than the standard deviation (SD), and thereby widely used in outlier detection. Computing the exact MAD however is costly, e.g., by calling an algorithm of finding median twice, with ...
Zhiwei Chen, Shaoxu Song, Ziheng Wei, Jingyun Fang, Jiang Long   +4 more
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Performance of median absolute deviation and some alternatives to median absolute deviation control charts for skewed and heavily tailed process

Quality and Reliability Engineering International, 2021
AbstractIn this paper, charts based on robust scale estimators (known as and estimators) are proposed, and the performance of control charts based on median absolute deviation (MAD) is compared with those based on some alternatives to MAD, which do not need any location estimate, for normal, skewed, and heavily tailed distributions.
Kayode S. Adekeye, Johnson A. Adewara, Olabisi L. Aako, John O. Olaomi   +3 more
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Conditional median absolute deviation

Journal of Statistical Computation and Simulation, 2014
We introduce conditional median absolute deviation to characterize how the local variability of one quantitative random variable varies with another one. A two-step estimation procedure is proposed and the resultant estimator possesses an adaptiveness property. Simulation indicates that this estimator is much more efficient than its competitors such as
Tingyou Zhou, Liping Zhu
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Alternatives to the Median Absolute Deviation

Journal of the American Statistical Association, 1993
Abstract In robust estimation one frequently needs an initial or auxiliary estimate of scale. For this one usually takes the median absolute deviation MAD n = 1.4826 med, {|xi − med j x j |}, because it has a simple explicit formula, needs little computation time, and is very robust as witnessed by its bounded influence function and its 50% breakdown ...
Rousseeuw, Peter, Croux, C.
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Edge preserving image enhancement using median absolute deviation and iterative median absolute deviation

2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT), 2017
The aim of image enhancement is to produce a processed image which is more suitable than the original image for specific application. Application can be edge detection, boundary detection, image fusion, segmentation etc. In this paper different types of image enhancement algorithms in spatial domain are presented for gray scale images.
null Shivaprasad, Clitus D'Souza, P Vinay   +2 more
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