Robust Descriptive Statistics
Robust descriptive statistics summarize the location, spread, and shape of a dataset using measures that remain meaningful even when a fraction of the data contains outliers or severe departures from normality. Core tools include the median, trimmed mean, interquartile range (IQR), and median absolute deviation (MAD), all of which are resistant to contamination that would distort the classic mean and standard deviation.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Tukey, J. W. (1977). Exploratory Data Analysis. Addison-Wesley. · ISBN 978-0201076165
- Huber, P. J., & Ronchetti, E. M. (2009). Robust Statistics (2nd ed.). Wiley. · ISBN 978-0470129906
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.