n.times.eVar.of.mad

<p>n times the empirical variances of the median absolute deviation(MAD) estimator under the standard
normal distribution, 
where \(n\) is the sample size and \(n\) is from 1 to 100.
For the median absolute deviation(MAD) estimates, mad{stats} is used. 
They are obtained using the extensive Monte Carlo simulation
with 1E07 replicates.</p>

datasets

Variance

Constructs robust quality control chart based on the median and Hodges-Lehmann estimators (location) and the median absolute deviation (MAD) and Shamos estimators (scale) which are unbiased with a sample of finite size. For more details, see Park, Kim and Wang (2019)<arXiv:1908.00462>. This work was partially supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (No. NRF-2017R1A2B4004169).

Chanseok Park

rQCC

Robust Quality Control Chart

Min Wang

n.times.eVar.of.mad function

<p>This data frame contains 100 values.</p>

n.times.eVar.of.mad: Empirical variances of the MAD (median absolute deviation) estimator (times n)

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