Journals / Hacettepe Journal of Mathematics and Statistics / 2002 / Cilt: 31 - Sayı:

A BAYESIAN METHOD TO DETECT OUTLIERS IN MULTIVARIATE LINEAR REGRESSION

Pages
77–82
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

In this study, a Bayesian method will be introduced to describe outlying

📌 3 Key Takeaways

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Objective & Hypothesis:In this study, a Bayesian method will be introduced to describe outlying
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Key Findings & Data:In this study, a Bayesian method will be introduced to describe outlying
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Conclusion & Impact:In this study, a Bayesian method will be introduced to describe outlying
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Realized error · posterior distribution · multivariate linear regression

Abstract

In this study, a Bayesian method will be introduced to describe outlying

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Cite This Article

EKİZ, U. (2022). A BAYESIAN METHOD TO DETECT OUTLIERS IN MULTIVARIATE LINEAR REGRESSION. Hacettepe Journal of Mathematics and Statistics, Cilt: 31 - Sayı:, 77–82. https://ajindex.com/articles/530839

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