Univariate and Multivariate Outlier Identification for Skewed or Heavy-Tailed Distributions
Explore this paper's citation graph
Summary
The commands gboxplot and sdasym are described, which implement simple univariate and multivariate outlier identification procedures that perform well with these types of distributions while keeping the computational complexity low.
- Type
- article
- Published
- 2018-09-01
- Cited by
- 21
- References
- 16
- Access
- Open access
- OpenAlex
- https://openalex.org/W2911841387
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:128206485
Keywords
Univariate, Multivariate statistics, Outlier, Multivariate analysis, Statistics
References
- Speaking Stata: Creating and Varying Box Plots: Correction
- An adjusted boxplot for skewed distributions
- Time-Efficient Algorithms for Robust Estimators of Location, Scale, Symmetry, and Tail heaviness
- Speaking Stata: Creating and Varying Box Plots
- Multivariate Outlier Detection in Stata
- The Behavior of the Stahel-Donoho Robust Multivariate Estimator
- Robust regression with both continuous and categorical predictors
- A generalized boxplot for skewed and heavy-tailed distributions
- Identifying Multiple Outliers in Multivariate Data
- Outlier detection for skewed data
- Outlier identification for skewed and/or heavy-tailed unimodal multivariate distributions
- BACON: blocked adaptive computationally efficient outlier nominators
Cited by
- How Do Agro-Pastoral Policies Affect the Dietary Intake of Agro-Pastoralists? Evidence from Niger
- Microdata analysis of Japanese farmers’ productivity: Estimating farm heterogeneity and elasticity of substitution among varieties
- TÉCNICAS ROBUSTAS Y NO ROBUSTAS PARA IDENTIFICAR OUTLIERS EN EL ANÁLISIS DE REGRESIÓN
- Extracellular Buffering Supplements to Improve Exercise Capacity and Performance: A Comprehensive Systematic Review and Meta-analysis
- A Bayesian Approach to Interpret Intervention Effectiveness in Strength and Conditioning Part 2: Effect Size Selection and Application of Bayesian Updating
- The Bone Biomarker Response to an Acute Bout of Exercise: A Systematic Review with Meta-Analysis
- The connectedness and risk spillovers between bitcoin spot and futures markets: evidence from intraday data
- Interpreting magnitude of change in strength and conditioning: Effect size selection, threshold values and Bayesian updating
- Financial Development, Financial Instability, and Fiscal Policy Volatility: International Evidence
- What are small, medium and large effect sizes for exercise treatments of tendinopathy? A systematic review and meta-analysis
- THE IMPACT OF EXPECTED AND UNEXPECTED EVENTS ON BITCOIN PRICE DEVELOPMENT:INTRODUCTION OF FUTURES MARKET AND COVID-19
- A National Perspective of Telemedicine Use and Direct Medical Costs
- A novel data-driven optimization framework for unsupervised and multivariate early-warning threshold modification in risk assessment of deep excavations
- Exercise therapy for tendinopathy: a mixed-methods evidence synthesis exploring feasibility, acceptability and effectiveness.
- Data cleaning for clinician researchers: Application and explanation of a data-quality framework.
- Dose–Response Modelling of Resistance Exercise Across Outcome Domains in Strength and Conditioning: A Meta-analysis
- Outlier detection for inequality and poverty analysis
- An Integrative Bioinformatics Pipeline for NHANES Data Processing for Machine Learning Analysis of Oral Health Outcomes
- Longitudinal analysis of explosive physical performance outcomes of professional athletes across multiple football codes: An investigation of systematic change and relative variation
- Granger Nedensellik Sınamasında Yeni Yaklaşımlar
Related papers
- A multivariate approach to a specific problem of grouping maize cultivars.
- Why Multivariate Methods are Usually Vital
- Outliers in multivariate time series
- Replicable multivariate BWAS with moderate sample sizes
- Multivariate trend testing of lake water quality
- Comparing multivariate and univariate subject-specific reference regions for blood constituents in healthy persons.
- Univariate and multivariate sex differences and similarities in gray matter volume within essential language-processing areas
- Independence bounds and approximations for system availability computations