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Εισαγωγικές Στατιστικές Μέθοδοι Ανθεκτικότητας (Robust Descriptive Statistics)×Ανθεκτική συνάρτηση συσχέτισης Pearson×
ΠεδίοΣτατιστικήΣτατιστική
ΟικογένειαHypothesis testHypothesis test
Έτος προέλευσης1960s–1970s1970s–1990s
ΔημιουργόςJohn W. Tukey, Peter J. Huber, Frank HampelRand R. Wilcox and predecessors in robust statistics
ΤύποςResistant summary measuresRobust bivariate association measure
Θεμελιώδης πηγήTukey, J. W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
Εναλλακτικές ονομασίεςresistant statistics, outlier-resistant summary statistics, robust summary measures, robust location and scale estimationwinsorized correlation, percentage bend correlation, robust r, outlier-resistant correlation
Συναφείς53
ΣύνοψηRobust 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.The robust Pearson correlation is an outlier-resistant measure of linear association between two continuous variables. By applying Winsorizing, trimming, or percentage-bend transformations before computing the classic Pearson r, it retains the interpretability of a correlation coefficient while dramatically reducing the distortion caused by extreme values.
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ScholarGateΣύγκριση μεθόδων: Robust Descriptive Statistics · Robust Pearson correlation. Ανακτήθηκε στις 2026-06-15 από https://scholargate.app/el/compare