San Juan Unified School District...OUTLIERS Measures of central tendency and dispersion can give...

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Transcript of San Juan Unified School District...OUTLIERS Measures of central tendency and dispersion can give...

Page 1: San Juan Unified School District...OUTLIERS Measures of central tendency and dispersion can give misleading impressions of a data set if the set contains one or more outliers. An outlier
Page 2: San Juan Unified School District...OUTLIERS Measures of central tendency and dispersion can give misleading impressions of a data set if the set contains one or more outliers. An outlier
Page 3: San Juan Unified School District...OUTLIERS Measures of central tendency and dispersion can give misleading impressions of a data set if the set contains one or more outliers. An outlier
Page 4: San Juan Unified School District...OUTLIERS Measures of central tendency and dispersion can give misleading impressions of a data set if the set contains one or more outliers. An outlier
Page 5: San Juan Unified School District...OUTLIERS Measures of central tendency and dispersion can give misleading impressions of a data set if the set contains one or more outliers. An outlier
Page 6: San Juan Unified School District...OUTLIERS Measures of central tendency and dispersion can give misleading impressions of a data set if the set contains one or more outliers. An outlier
Page 7: San Juan Unified School District...OUTLIERS Measures of central tendency and dispersion can give misleading impressions of a data set if the set contains one or more outliers. An outlier
Page 8: San Juan Unified School District...OUTLIERS Measures of central tendency and dispersion can give misleading impressions of a data set if the set contains one or more outliers. An outlier
Page 9: San Juan Unified School District...OUTLIERS Measures of central tendency and dispersion can give misleading impressions of a data set if the set contains one or more outliers. An outlier
Page 10: San Juan Unified School District...OUTLIERS Measures of central tendency and dispersion can give misleading impressions of a data set if the set contains one or more outliers. An outlier
Page 11: San Juan Unified School District...OUTLIERS Measures of central tendency and dispersion can give misleading impressions of a data set if the set contains one or more outliers. An outlier
Page 12: San Juan Unified School District...OUTLIERS Measures of central tendency and dispersion can give misleading impressions of a data set if the set contains one or more outliers. An outlier
Page 13: San Juan Unified School District...OUTLIERS Measures of central tendency and dispersion can give misleading impressions of a data set if the set contains one or more outliers. An outlier
Page 14: San Juan Unified School District...OUTLIERS Measures of central tendency and dispersion can give misleading impressions of a data set if the set contains one or more outliers. An outlier

Outliers - University of Notre Damerwilliam/stats2/l24.pdf · Outliers Page 1 Outliers ... or, the outlier belongs to a different population than the one you ... 10844.1543 38 285.372482

Outliers - University of Notre Damerwilliam/stats2/l24.pdf · Outliers Page 1 Outliers ... or, the outlier belongs to a different population than the one you ... 10844.1543 38 285.372482

OUTLIER SCREENING IN TEST OF AUTOMOTIVE ......15, FEB, 2016 USE OF JMP12 PRO ‘MULTIVARIATE ANALYSIS’ PLATFORMS AND ‘EXPLORE OUTLIERS’ UTILITY OUTLIER SCREENING IN TEST OF AUTOMOTIVE

OUTLIER SCREENING IN TEST OF AUTOMOTIVE ......15, FEB, 2016 USE OF JMP12 PRO ‘MULTIVARIATE ANALYSIS’ PLATFORMS AND ‘EXPLORE OUTLIERS’ UTILITY OUTLIER SCREENING IN TEST OF AUTOMOTIVE

Diagnosing the Presence of Multivariate Outliers in …...Univariate outlier mitigation approaches remain commonplace in academic and professional work. Hence, the primary contribution

Diagnosing the Presence of Multivariate Outliers in …...Univariate outlier mitigation approaches remain commonplace in academic and professional work. Hence, the primary contribution

Ad Hoc Networks - fp7-genesi.di.uniroma1.itfp7-genesi.di.uniroma1.it/files/Distributed online outlier.pdf · one-class SVM-based outlier detection techniques to iden-tify outliers

Ad Hoc Networks - fp7-genesi.di.uniroma1.itfp7-genesi.di.uniroma1.it/files/Distributed online outlier.pdf · one-class SVM-based outlier detection techniques to iden-tify outliers

Mining Query-Based Subnetwork Outliers in Heterogeneous ...keg.cs.tsinghua.edu.cn/jietang/publications/icdm_2014_outliers_final.pdfCase Study •Query: outlier author subnetworks related

Mining Query-Based Subnetwork Outliers in Heterogeneous ...keg.cs.tsinghua.edu.cn/jietang/publications/icdm_2014_outliers_final.pdfCase Study •Query: outlier author subnetworks related

A CLASS-OUTLIER APPROACH FOR ENVIRONNEMENTAL … · 2015. 4. 30. · Based on the Class Outliers: DistanceBased (CODB) algorithm (Hewahi and Saad, 2007), the irregular pixels are

A CLASS-OUTLIER APPROACH FOR ENVIRONNEMENTAL … · 2015. 4. 30. · Based on the Class Outliers: DistanceBased (CODB) algorithm (Hewahi and Saad, 2007), the irregular pixels are

Determination of Local Background Concentrations … · Determination of Local Background Concentrations in ... • Outlier Test Result • Silt Layer –no outliers were found ...

Determination of Local Background Concentrations … · Determination of Local Background Concentrations in ... • Outlier Test Result • Silt Layer –no outliers were found ...

Regression III: Robust regressions Outliers Tests for outlier detections Robust regressions Breakdown point Least trimmed squares M-estimators.

Regression III: Robust regressions Outliers Tests for outlier detections Robust regressions Breakdown point Least trimmed squares M-estimators.

Determination of A Some Simple Methods for Outlier ... · Outliers in maximum ... Estimation of probabilistic distributions parameters is influenced by outliers ... the null hypothesis

Determination of A Some Simple Methods for Outlier ... · Outliers in maximum ... Estimation of probabilistic distributions parameters is influenced by outliers ... the null hypothesis

Concentration Free Outlier Detectionecmlpkdd2017.ijs.si/papers/paperID262.pdf · 2017-08-14 · Unsupervised methods detect outliers in an input dataset by assigning a score or anomaly

Concentration Free Outlier Detectionecmlpkdd2017.ijs.si/papers/paperID262.pdf · 2017-08-14 · Unsupervised methods detect outliers in an input dataset by assigning a score or anomaly

New Elliptical Insights: Geometric Travels in Multivariate Data …datavis.ca/papers/EllipticalInsights.pdf · 2018. 6. 14. · Insight: Outlier detection • Multivariate outliers

New Elliptical Insights: Geometric Travels in Multivariate Data …datavis.ca/papers/EllipticalInsights.pdf · 2018. 6. 14. · Insight: Outlier detection • Multivariate outliers

Density-Based Outlier Detectionleichen/courses/comp5331/lectures/LOF_Example.pdf · Density-Based Outlier Detection • Local outliers: Outliers comparing to their local neighborhoods,

Density-Based Outlier Detectionleichen/courses/comp5331/lectures/LOF_Example.pdf · Density-Based Outlier Detection • Local outliers: Outliers comparing to their local neighborhoods,

How Far is too Far? Statistical Outlier Detection · How Far is too Far? Statistical Outlier Detection Steven Walfish President, Statistical Outsourcing ... Potential outliers influence

How Far is too Far? Statistical Outlier Detection · How Far is too Far? Statistical Outlier Detection Steven Walfish President, Statistical Outsourcing ... Potential outliers influence

algebra1.6b.gwb - 1/13 - Fri Sep 05 2008 17:14:34 · Mean can describe the middle of a data set that has no outliers. Outlier: a value that is much higher or lower than other values

algebra1.6b.gwb - 1/13 - Fri Sep 05 2008 17:14:34 · Mean can describe the middle of a data set that has no outliers. Outlier: a value that is much higher or lower than other values

A statistical test for outlier identification in data ...ijo.iaurasht.ac.ir/article_514143_4f79709b7cf61f... · outliers in data envelopment analysis. Simar (2003) describes using

A statistical test for outlier identification in data ...ijo.iaurasht.ac.ir/article_514143_4f79709b7cf61f... · outliers in data envelopment analysis. Simar (2003) describes using

A comparative evaluation of outlier detection algorithms: experiments and analyses · 2020-06-20 · tify outliers. Local outlier factor (LOF) described in [4] is a well-known dis-tance

A comparative evaluation of outlier detection algorithms: experiments and analyses · 2020-06-20 · tify outliers. Local outlier factor (LOF) described in [4] is a well-known dis-tance

Detection of multivariate outliers with location …outlier problems in normal multivariate regression, where alternatives involve a multiplicity of spurious observations. In this

Detection of multivariate outliers with location …outlier problems in normal multivariate regression, where alternatives involve a multiplicity of spurious observations. In this

Outlier Resistant PCA Ensembles - researchgate.net · Outlier Resistant PCA Ensembles ... performed on subsets containing outliers will be more influenced by the outliers if the ...

Outlier Resistant PCA Ensembles - researchgate.net · Outlier Resistant PCA Ensembles ... performed on subsets containing outliers will be more influenced by the outliers if the ...

Robust Inference in Autoregressions with Multiple Outliers · Robust Inference in Autoregressions with Multiple Outliers ... In the benchmark case of known outlier location, ... In

Robust Inference in Autoregressions with Multiple Outliers · Robust Inference in Autoregressions with Multiple Outliers ... In the benchmark case of known outlier location, ... In

Class 7: Thurs., Sep. 30. Outliers and Influential Observations Outlier: Any really unusual observation. Outlier in the X direction (called high leverage.

Class 7: Thurs., Sep. 30. Outliers and Influential Observations Outlier: Any really unusual observation. Outlier in the X direction (called high leverage.