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RISA procedure for testing suspected observations
A New Statistic for Detecting Outliers in Gamma Distribution
~~~~Bol\\'shev \\\\cite{Bol\\'shev} generalized the Chauvenet\\'s test for rejecting outlier observations (see Bol\\'shev \\\\cite{Bol\\'shev} and Voinov and Nikulin \\\\cite{Voinov and Nikulin 1996})\\\\textbf{.} This method is suitable...
robande: An R package for Robust ANOVA
includes functions to
decompose the data using a specified sweep function, to present the
resulting decomposition, to detect and highlight possible outliers and
to compute the robust ANOVA table....
Detection of outliers data (precipitation and flood) in Golestan Dam Watershed
Outlier data plays a very important role in flood frequency analysis. In recent years,
Golestan Dam watershed has experienced devastating floods. This watershed, with an
area of 4802 sq. km, which is a part of Caspian Sea watershed...
Comments on two papers concerning estimation of the parameters of the Pareto distribution in the presence of outliers
Partial least squares classification for high dimensional data using the PCOUT algorithm
Finding multivariate outliers with FastPCS
Fast approximate minimization: Speeding up robust regression
General foundations for studying masking and swamping robustness of outlier identifiers
Estimation of P(X less Y) for generalized exponential distribution in presence of outlier
of one outlier with parameters beta_1 and beta_2) such that X and Y are independent. when the scale parameter (lambda) is known the maximum likelihood estimator of R=P(...