Analysis of r×c Tables containing Outliers

We examine the problem of accommodating outliers in tables of measurement data when there are no replications. The suggested strategy for the determination of the cells that contain outliers and for handling them analytically is easily understood and implemented in practice and presented in even the most elementary statistics course along with the course’s ANOVA material.

Authors

David L. Farnsworth (ORCID: https://orcid.org/0000-0003-0251-8770)

Institutions

Rochester Institute of Technology (US)

Publication Details

Journal: Journal of Probability and Statistical Science
Published: 2024-11-04
DOI: https://doi.org/10.37119/jpss2024.v22i1.783
Primary Topic: Advanced Statistical Methods and Models
Type: article
Field-Weighted Citation Impact: 0.00

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article

Analysis of r×c Tables containing Outliers

David L. Farnsworth

Nov 4, 2024

Journal of Probability and Statistical Science

Advanced Statistical Methods and Models

article

Analysis of r×c Tables containing Outliers

David L. Farnsworth

November 4, 2024article en

Abstract

Journal of Probability and Statistical ScienceVol. 22(1)

Rochester Institute of Technology (US)

Openalex Percentile: Top 80%

Advanced Statistical Methods and Models

DOI Open Access PDF OpenAlex

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Analysis of r×c Tables containing Outliers — David L. Farnsworth · Journal of Probability and Statistical Science (2024) | TGRS Research Map | TGRS