Early sample measures of variability.
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Publication:1431153
DOI10.1214/ss/1028905831zbMath1059.62500OpenAlexW1978673502MaRDI QIDQ1431153
Publication date: 27 May 2004
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/ss/1028905831
order statisticsrangechi-squared distributionstandard deviationLaplacemean deviationGaussmean differencemedian absolute deviationAbbeBienayméHelmertinterquartile distanceMeasures of dispersion
Related Items (13)
Dispersive orderings induced by differences of inter risk measures ⋮ Rank method for partial functional linear regression models ⋮ LINEAR FUNCTIONS OF UNIFORM ORDER STATISTICS AND B-SPLINES ⋮ Statistical inference on asymptotic properties of two estimators for the partially linear single-index models ⋮ Robust weighted least squares support vector regression algorithm to estimate the nanofluid thermal properties of water/graphene oxide-silicon carbide mixture ⋮ Parametric measures of variability induced by risk measures ⋮ A control chart for monitoring process variation using multiple dependent state sampling ⋮ Dimension reduction via local rank regression ⋮ Stochastic orders and measures of skewness and dispersion based on expectiles ⋮ A Dispersion Control Chart ⋮ A newS2control chart using repetitive sampling ⋮ Local rank estimation and related test for varying-coefficient partially linear models ⋮ Rank-based shrinkage estimation for identification in semiparametric additive models
Cites Work
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- Gauss's contributions to statistics
- Helmert's work in the theory of errors
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- Simon Newcomb, Percy Daniell, and the History of Robust Estimation 1885-1920
- The History of Likelihood
- Origin of the Theory of Errors
- FORERUNNERS OF THE PEARSON χ2
- ON THE ESTIMATION OF DISPERSION BY LINEAR SYSTEMATIC STATISTICS
- LEAST-SQUARES ESTIMATION OF LOCATION AND SCALE PARAMETERS USING ORDER STATISTICS
- Editorial Note
- ON THE DISTRIBUTION OF THE ESTIMATE OF MEAN DEVIATION OBTAINED FROM SAMPLES FROM A NORMAL POPULATION
- THE RANGE IN RANDOM SAMPLES
- Helmert's Distribution
- On Some Useful "Inefficient" Statistics
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