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1994, 3rd ed., Wiley series in probability and mathematical statistics. Applied probability and statistics., ISBN 0471930946, xvii, 584
Book
1987, Wiley series in probability and mathematical statistics. Applied probability and statistics, ISBN 9780471852339
eBook
IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, 01/2018, Volume 24, Issue 1, pp. 256 - 266
Visualizing outliers in massive datasets requires statistical pre-processing in order to reduce the scale of the problem to a size amenable to rendering... 
Outliers | Sociology | Gaussian distribution | Robustness | Covariance matrices | Anomaly detection | Standards | Anomalies | COMPUTER SCIENCE, SOFTWARE ENGINEERING | MULTIVARIATE | MODEL | Data analysis | Statistical analysis | Data management | Outliers (statistics) | Data sets | Machine learning | Multidimensional methods | Continuity (mathematics)
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 2008, Volume 52, Issue 3, pp. 1694 - 1711
Journal Article
Numerical Algorithms, ISSN 1017-1398, 7/2018, Volume 78, Issue 3, pp. 805 - 825
In this work, we present a method that will allow us to remove outliers from a data set. Given the measurements of a function f = g + e on a set of sample... 
Outliers | Moving least squares | Algorithms | Algebra | Multivariate approximation | Numerical Analysis | Computer Science | Numeric Computing | Theory of Computation | MATHEMATICS, APPLIED | MOVING LEAST-SQUARES
Journal Article
Journal of Computational and Graphical Statistics, ISSN 1061-8600, 07/2019, Volume 28, Issue 3, pp. 635 - 643
Identifying and dealing with outliers is an important part of data analysis. A new visualization, the O3 plot, is introduced to aid in the display and... 
Data science | Parallel coordinate plots | Statistical graphics | OutliersO3 | Exploratory data analysis | Data visualization | STATISTICS & PROBABILITY
Journal Article
Communications in Statistics - Theory and Methods, ISSN 0361-0926, 11/2017, Volume 46, Issue 21, pp. 10426 - 10445
Identification of outlier vectors in block designs for incomplete multiresponse experiments has been considered. Design is composed of two sets of experimental... 
Incomplete multiresponse experiment | Outlier | Block design | Mean-shift model | 62K10 | Cook-statistic | REGRESSION | STATISTICS & PROBABILITY | MULTIVARIATE DATA | DESIGNS | Outliers (statistics) | Data analysis
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 01/2014, Volume 69, pp. 54 - 66
The Projection Congruent Subset (PCS) is a new method for finding multivariate outliers. Like many other outlier detection procedures, PCS searches for a... 
Multivariate statistics | Outlier detection | Computational statistics | STATISTICS & PROBABILITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | Algorithms | Computer simulation | Computation | Searching | Projection | Data processing | Criteria | Statistics
Journal Article
Statistical Papers, ISSN 0932-5026, 2/2014, Volume 55, Issue 1, pp. 29 - 47
Journal Article
Quality and Reliability Engineering International, ISSN 0748-8017, 07/2019, Volume 35, Issue 5, pp. 1408 - 1423
Journal Article
International Journal of Forecasting, ISSN 0169-2070, 10/2019
Journal Article
Information Visualization, ISSN 1473-8716, 1/2018, Volume 17, Issue 1, pp. 22 - 40
Outlier analysis techniques are extensively used in many domains such as intrusion detection. Today, even with the most advanced statistical learning... 
COMPUTER SCIENCE, SOFTWARE ENGINEERING | TAXONOMY | NUMBER | Outlier detection | INTERACTIVE VISUALIZATION | anomaly detection | information visualization | INTRUSION | multidimensional data visualization | Intrusion | Visualization | Data analysis | Outliers (statistics) | Multivariate analysis | Computer security | Intrusion detection systems
Journal Article
Journal of Chemometrics, ISSN 0886-9383, 03/2008, Volume 22, Issue 3‐4, pp. 235 - 246
Journal Article
Journal Article
Analytical Chemistry, ISSN 0003-2700, 05/2017, Volume 89, Issue 9, pp. 5087 - 5094
Sample outlier detection is imperative before calculating a multivariate calibration model. Outliers, especially in high-dimensional space, can be difficult to... 
REGRESSION | MATRIX | CHEMISTRY, ANALYTICAL | SPECTROSCOPY | SCATTER-CORRECTION | SIGNAL CORRECTION | SPECTRA | IDENTIFICATION | MULTIVARIATE CALIBRATION | PROCRUSTES ANALYSIS
Journal Article
Simulation Modelling Practice and Theory, ISSN 1569-190X, 09/2018, Volume 87, pp. 191 - 209
In this work we develop two new algorithms for outlier detection in skewed data. The first algorithm uses an adjusted median with the help of Robust Support... 
DISTRIBUTIONS | COMPUTER SCIENCE, SOFTWARE ENGINEERING | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | SUPPORT VECTOR REGRESSION | BEHAVIOR | MULTIVARIATE LOCATION | COMPONENT ANALYSIS | ALGORITHMS | Health aspects | Algorithms | Dementia
Journal Article
Computers and Geosciences, ISSN 0098-3004, 2005, Volume 31, Issue 5, pp. 579 - 587
A new method for multivariate outlier detection able to distinguish between extreme values of a normal distribution and values originating from a different... 
Robust statistics | Exploration geochemistry | Background | Multivariate outliers | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | GEOSCIENCES, MULTIDISCIPLINARY | ROBUST | exploration geochemistry | background | ESTIMATOR | multivariate outliers | robust statistics | Geochemical prospecting | Geological surveys | Geology | Analytic geochemistry
Journal Article