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	Robustná frekvenčná analýza	Robustné deskriptívne štatistiky
Odbor	Štatistika	Štatistika
Rodina	Hypothesis test	Hypothesis test
Rok vzniku	1970s–1980s (foundations); applied to frequency analysis throughout the 1990s–2000s	1960s–1970s
Tvorca	Huber, Hampel, Wilcox and the robust statistics tradition	John W. Tukey, Peter J. Huber, Frank Hampel
Typ	Robust descriptive and inferential procedure	Resistant summary measures
Pôvodný zdroj	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838	Tukey, J. W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165
Ďalšie názvy	robust count analysis, outlier-resistant frequency analysis, robust distributional analysis	resistant statistics, outlier-resistant summary statistics, robust summary measures, robust location and scale estimation
Príbuzné	3	5
Zhrnutie	Robust frequency analysis applies outlier-resistant estimation and resampling or exact methods to the counting and tabulation of categorical data, reducing the distortion caused by extreme observations, sparse cells, or violations of large-sample assumptions that can make conventional frequency summaries misleading.	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.