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Pakistan Journal of Statistics and Operation Research, ISSN 1816-2711, 2015, Volume 11, Issue 1, pp. 91 - 102
  Tukey's boxplot is very popular tool for detection of outliers. It reveals the location, spread and skewness of the data. It works nicely for detection of... 
Boxplot | Adjusted boxplot | Medcouple | Modified Boxplot | Skewness
Journal Article
Statistics and Probability Letters, ISSN 0167-7152, 12/2014, Volume 95, pp. 110 - 117
We define a new boxplot that can deal with skewed and/or heavy-tailed distributions and possible outliers. The methodology relies on a rank-preserving... 
Adjusted boxplot | Standard boxplot | Generalized boxplot | Tukey [formula omitted]-and-[formula omitted] distribution | Tukey g-and-h distribution | STATISTICS & PROBABILITY
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 01/2017, Volume 105, pp. 24 - 45
Statistical depth and related quantile functions, originally introduced for nonparametric description and analysis of multivariate data in a way sensitive to... 
Boxplot | Outlier detection | Nonparametric | Quantiles | Functional data | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | BOXPLOTS | CLASSIFICATION | STATISTICS & PROBABILITY
Journal Article
Advanced Science Letters, ISSN 1936-6612, 02/2017, Volume 23, Issue 2, pp. 1422 - 1427
Journal Article
Science of the Total Environment, ISSN 0048-9697, 2005, Volume 346, Issue 1, pp. 1 - 16
Different procedures to identify data outliers in geochemical data are reviewed and tested. The calculation of [mean±2 standard deviation (sdev)] to estimate... 
Outliers | Mean | Background | Normal distribution | Boxplot | Median | Cumulative probability plot | Threshold | boxplot | ENVIRONMENTAL SCIENCES | RISK ASSESSMENT | median | METALS | background | mean | normal distribution | threshold | cumulative probability plot | outliers | GEOCHEMICAL ANOMALY SEPARATION | Geological surveys | Analysis | Methods | Environmental protection
Journal Article
Zuchtungskunde, ISSN 0044-5401, 11/2017, Volume 89, Issue 6, pp. 401 - 412
Journal Article
Journal of the Royal Statistical Society: Series B (Statistical Methodology), ISSN 1369-7412, 01/2016, Volume 78, Issue 1, pp. 77 - 97
Summary We suggest a new approach, which is applicable for general statistics computed from random samples of univariate or vector‐valued or functional data,... 
Outlier | Band depth | Functional data | Functional boxplot | Robustness | Data weights | Image data | BOXPLOTS | STATISTICS & PROBABILITY | Studies | Influence | Statistical methods | Ratings & rankings
Journal Article
SIAM Journal on Scientific Computing, ISSN 1064-8275, 2018, Volume 40, Issue 6, pp. A3699 - A3714
A hybrid scheme, based on the high order nonlinear characteristicwise weighted essentially nonoscillatory (WENO) conservative finite difference scheme and the... 
Radial basis function | Hyperbolic | Outliers detection | Hybrid | Tukey's boxplot | WENO-Z | Compact | MATHEMATICS, APPLIED | radial basis function | hybrid | compact | outliers detection | hyperbolic
Journal Article
Journal of Applied Statistics, ISSN 0266-4763, 07/2019, Volume 46, Issue 10, pp. 1886 - 1902
The presence of extreme outliers in the upper tail data of income distribution affects the Pareto tail modeling. A simulation study is carried out to compare... 
Income distribution | Pareto model | extreme outliers | probability integral transform statistics | generalized boxplot | INDEX ESTIMATION | TESTS | PARETO | INEQUALITY | POOR | STATISTICS & PROBABILITY | BOXPLOT | MODEL | WEALTH | POWER LAWS | RICH | Confidence intervals | Economic models | Data analysis | Computer simulation | Pareto optimum | Outliers (statistics) | Income | Electric power distribution
Journal Article
STATISTICAL METHODS AND APPLICATIONS, ISSN 1618-2510, 07/2015, Volume 24, Issue 2, pp. 263 - 267
Journal Article
Engenharia Agricola, ISSN 0100-6916, 09/2018, Volume 38, Issue 5, pp. 751 - 759
Knowing the relationship between the total suspended solids concentration (TSS), turbidity in the waters, and that turbidity analysis can be done faster and in... 
Variables dummy | Adjusted boxplot | Water quality monitoring | variables dummy | QUALITY | AGRICULTURAL ENGINEERING | water quality monitoring | adjusted boxplot
Journal Article
Applied Radiation and Isotopes, ISSN 0969-8043, 12/2019, Volume 154, p. 108861
Correlation of radon anomalies with meteorological parameters and earthquake occurrence has been reported in many studies. This paper reports descriptive... 
Radon anomalies | Meteorological parameters | Boxplots | Soil radon gas
Journal Article
Journal of Visual Languages and Computing, ISSN 1045-926X, 12/2014, Volume 25, Issue 6, pp. 903 - 911
When working in distributed teams, it is very important to be aware of the activities of all members, since it provides hints about when they might be... 
Activity traces | Circular boxplot | Circular histograms
Journal Article
The Journal of Foot and Ankle Surgery, ISSN 1067-2516, 03/2018, Volume 57, Issue 2, pp. 427 - 431
To make meaningful inferences based on our regression models, we must ensure that we have met the necessary assumptions of these tests. In this commentary, we... 
boxplot | influential point | residual | Q-Q plot | diagnostic test | SURGERY | ORTHOPEDICS
Journal Article
Journal of Visual Languages and Computing, ISSN 1045-926X, 2014, Volume 25, Issue 6, pp. 903 - 911
When working in distributed teams, it is very important to be aware of the activities of all members, since it provides hints about when they might be... 
Activity traces | Circular boxplot | Circular histograms | COMPUTER SCIENCE, SOFTWARE ENGINEERING
Journal Article
SIAM Journal on Scientific Computing, 38 (1), 2016, ISSN 1064-8275, 01/2016, Volume 38, Issue 1, pp. A84 - A104
Journal Article
Journal of Computational and Graphical Statistics, ISSN 1061-8600, 07/2019, Volume 28, Issue 3, pp. 671 - 681
We start with a simple introduction to topological data analysis where the most popular tool is called a persistence diagram. Briefly, a persistence diagram is... 
Confidence region | Persistent homology | Two-sample test | Clustering | Functional boxplot | Global rank envelope | STATISTICS & PROBABILITY
Journal Article
Transportation Research Part C, ISSN 0968-090X, 09/2016, Volume 70, pp. 69 - 85
Effective incident management system requires quantifying non-recurring congestion and detecting a secondary incident under the negative influence of a primary... 
Incident duration | Adjusted boxplot | Secondary Incident | Clustering | Bayesian neural network | Rule extraction | TRAFFIC CONGESTION | TRACKING | TRANSPORTATION SCIENCE & TECHNOLOGY | PATTERNS | Neural networks | Analysis | Investigations | Traffic congestion | Roads | Emergencies | Segments | Queues | Mathematical models | Congestion | Bayesian analysis
Journal Article
STATISTICAL METHODS AND APPLICATIONS, ISSN 1618-2510, 07/2015, Volume 24, Issue 2, pp. 245 - 251
Journal Article
Journal of Statistical Planning and Inference, ISSN 0378-3758, 07/2015, Volume 162, pp. 62 - 74
In the wide-ranging scope of modern statistical data analysis, a key task is identification of . For any outlier identification procedure, one needs to know... 
Boxplot | Outlier detection | Nonparametric | Masking robustness | Breakdown point | Swamping robustness | STATISTICS & PROBABILITY | IDENTIFICATION
Journal Article
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