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Assessment of the Risk of Venous Thromboembolism in Overcrowded Shelters: A Geospatial and Statistical Analysis of the 2024 Noto Peninsula Earthquake. [PDF]
CureusNakai H +8 more
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Real-time outlier detection in digital PCR data for wastewater-based pathogen surveillance
McLeod RE +3 more
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Outlier and influence diagnostics for meta-analysis
Research Synthesis Methods, 2010The presence of outliers and influential cases may affect the validity and robustness of the conclusions from a meta-analysis. While researchers generally agree that it is necessary to examine outlier and influential case diagnostics when conducting a meta-analysis, limited studies have addressed how to obtain such diagnostic measures in the context of
Wolfgang Viechtbauer, Mike W-L Cheung
exaly +4 more sources
Outlier Analysis: Advanced Concepts
2015Many scenarios for outlier analysis cannot be addressed with the use of the techniques discussed in the previous chapter. For example, the data type has a critical impact on the outlier detection algorithm. In order to use an outlier detection algorithm on categorical data, it may be necessary to change the distance function or the family of ...
C. Aggarwal
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Journal of experimental psychology. General, 2023
A methodological problem in most reaction time (RT) tasks is that some measured RTs may be outliers, being either too fast or too slow to reflect the task-related processing of interest.
Jeff Miller
semanticscholar +1 more source
A methodological problem in most reaction time (RT) tasks is that some measured RTs may be outliers, being either too fast or too slow to reflect the task-related processing of interest.
Jeff Miller
semanticscholar +1 more source
Transportation Research Record, 2020
Traffic incidents, as non-recurrent events, are one of the major causes of congestion in the transportation network. To mitigate the impacts of such incidents and to recover the performance of transportation systems as safely and quickly as possible ...
Minsu Won
semanticscholar +1 more source
Traffic incidents, as non-recurrent events, are one of the major causes of congestion in the transportation network. To mitigate the impacts of such incidents and to recover the performance of transportation systems as safely and quickly as possible ...
Minsu Won
semanticscholar +1 more source
Fuzzy outlier analysis a combined clustering - outlier detection approach
2007 IEEE International Conference on Systems, Man and Cybernetics, 2007Many outlier detection methods identify outliers ignoring any structure in data. However, it is sometimes beneficial to integrate outlierness and a method that groups data, such as clustering. This enhances both outlier and cluster analysis. In this paper, a fuzzy approach is proposed for integrating results from an outlier detection method and a ...
Noha A. Yousri +2 more
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Sensitivity analysis with iterative outlier detection for systematic reviews and meta‐analyses
Statistics in MedicineMeta‐analysis is a widely used tool for synthesizing results from multiple studies. The collected studies are deemed heterogeneous when they do not share a common underlying effect size; thus, the factors attributable to the heterogeneity need to be ...
Zhuo Meng +3 more
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OUTLIER DIAGNOSTICS IN TIME SERIES ANALYSIS
Journal of Time Series Analysis, 1990Abstract.Cook's likelihood displacement is a convenient measure of the impact of a model perturbation on parameter estimates. A commonly used model perturbation in regression is the deletion of acase, or equation. A natural model perturbation in the time series context is the deletion of anobservation, or a group of observations.
openaire +3 more sources