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Full Description
This brief monograph, in the broadest terms, reviews some of the techniques for outlier detection and analysis. In addition, the effect of the presence of outliers on the statistical parameters such as higher-order moments, quartiles, deciles, percentiles, skewness, and kurtosis, etc. of the distribution are studied. It also discusses the masking and swamping effect of outliers and some primitive methods of detecting these behaviours. Furthermore, some methods of detecting outliers in multivariate data using the clustering algorithm approach are also discussed.
Contents
Preface; About the Authors; Introduction; Outliers: To Discard or Not to Discard; Methods of Outlier Detection; Challenges and Impacts of Outlier Detection; Statistical Tests for Outlier Detection and Outlier Treatment; Other Statistical Methods; Outliers in the Real World; Outlier Detection in Time Series Data; Discussion and Conclusion; References; Index.