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Cointegration analysis in the presence of outliers [PDF]
The Econometrics Journal, 2004 Summary: The effects of innovational outliers and additive outliers in cointegrated vector autoregressive models are examined and it is analyzed how outliers can be modelled with dummy variables. A Monte Carlo simulation illustrates that additive outliers are more distortionary than innovational outliers, and misspecified dummies may distort inference ...
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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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A new approach to outliers in meta-analysis
Health Care Management Science, 2007The synthesis of evidence from trials and medical studies using meta-analysis is essential for Evidence Based Medicine. However, problematical outlying results often occur even under the random-effects model. We propose a model that allows a long-tailed distribution for the random effect, which removes the necessity for an arbitrary decision to include
Rose, Baker, Dan, Jackson
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1969
This item was digitized as part of a project to share McGill's intellectual legacy with the public. If you are the copyright holder or a relative of the copyright holder who is deceased, you may request withdrawal by emailing escholarship.library@mcgill.ca.
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This item was digitized as part of a project to share McGill's intellectual legacy with the public. If you are the copyright holder or a relative of the copyright holder who is deceased, you may request withdrawal by emailing escholarship.library@mcgill.ca.
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Analysis of Response Surface Designs to Outlier
2010 International Conference on E-Business and E-Government, 2010Response surface designs investigating the effects of several factors have widely application and make the researcher or analyst to control the factors or model the effects of the input variables on the response of the process. Outliers among the measurements can almost be inevitable and will frequently have a highly confusing effect on response ...
Juntao Fang, Zhen He 0001
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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.
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Strategies for outlier analysis
IEE Two-day Colloquium on Knowledge Discovery and Data Mining, 1998The handling of anomalous or outlying observations in a data set is one of the most important tasks in data pre-processing. It is important for three reasons. First, outlying observations can have a considerable influence on the results of an analysis.
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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
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Eliminating Outliers in Motion Occlusion Analysis
2000Occlusion boundaries are considered either as outliers or as noise in most optical flow algorithms. In order to treat the boundary problem, many probabilistic algorithms like maximum likelihood [6] or expectation-maximization (EM) [17,3] decrease the weights of pixels in boundary regions gradually during estimation iterations. However, these approaches
Weichuan Yu +2 more
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