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Outliers: Detection and Analysis

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Title: Outliers: Detection and Analysis
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 behaviors. Furthermore, some methods of detecting outliers in multivariate data using the clustering algorithm approach are also discussed.
Authors: Apra Lipi
Resource Type: eBook.
Subjects: Outliers (Statistics), Error analysis (Mathematics)
Categories: MATHEMATICS / General
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 3146796
RelevancyScore: 1110
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1109.74133300781
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  Data: Outliers: Detection and Analysis
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  Data: 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 behaviors. Furthermore, some methods of detecting outliers in multivariate data using the clustering algorithm approach are also discussed.
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  Data: <searchLink fieldCode="AR" term="%22Apra+Lipi%22">Apra Lipi</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Outliers+%28Statistics%29%22">Outliers (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Error+analysis+%28Mathematics%29%22">Error analysis (Mathematics)</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 519.52
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Outliers (Statistics)
        Type: general
      – SubjectFull: Error analysis (Mathematics)
        Type: general
    Titles:
      – TitleFull: Outliers: Detection and Analysis
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Apra Lipi
      – PersonEntity:
          Name:
            NameFull: Apra Lipi
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
            – D: 26
              M: 07
              Type: profile
              Y: 2022
          Identifiers:
            – Type: isbn-print
              Value: 9781685075545
            – Type: isbn-electronic
              Value: 9781685075873
          Titles:
            – TitleFull: Outliers: Detection and Analysis
              Type: main
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