방법 비교

	Robust Frequency Analysis	강건한 기술 통계량
분야	통계학	통계학
계열	Hypothesis test	Hypothesis test
기원 연도	1970s–1980s (foundations); applied to frequency analysis throughout the 1990s–2000s	1960s–1970s
창시자	Huber, Hampel, Wilcox and the robust statistics tradition	John W. Tukey, Peter J. Huber, Frank Hampel
유형	Robust descriptive and inferential procedure	Resistant summary measures
원전	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
별칭	robust count analysis, outlier-resistant frequency analysis, robust distributional analysis	resistant statistics, outlier-resistant summary statistics, robust summary measures, robust location and scale estimation
관련	3	5
요약	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.