K. C. Sreedharan Pillai and Multivariate analysis

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between K. C. Sreedharan Pillai and Multivariate analysis

K. C. Sreedharan Pillai vs. Multivariate analysis

K C Sreedharan Pillai (1920–1985) was an Indian statistician who was known for his works on multivariate analysis and probability distributions. Multivariate analysis (MVA) is based on the statistical principle of multivariate statistics, which involves observation and analysis of more than one statistical outcome variable at a time.

Similarities between K. C. Sreedharan Pillai and Multivariate analysis

K. C. Sreedharan Pillai and Multivariate analysis have 1 thing in common (in Unionpedia): Statistics.

Statistics

Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.

K. C. Sreedharan Pillai and Statistics · Multivariate analysis and Statistics · See more »

The list above answers the following questions

What K. C. Sreedharan Pillai and Multivariate analysis have in common
What are the similarities between K. C. Sreedharan Pillai and Multivariate analysis

K. C. Sreedharan Pillai and Multivariate analysis Comparison

K. C. Sreedharan Pillai has 18 relations, while Multivariate analysis has 30. As they have in common 1, the Jaccard index is 2.08% = 1 / (18 + 30).

References

This article shows the relationship between K. C. Sreedharan Pillai and Multivariate analysis. To access each article from which the information was extracted, please visit:

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