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Journals / Black Sea Journal of Engineering and Science / 2019 / Cilt: 2 - Sayı: 1

A Study on Determination of Outlier Observations by Using Chi-Square Threshold Value

A STUDY ON DETERMINATION OF OUTLIER OBSERVATIONS BY USING CHI-SQUARE THRESHOLD VALUE

Fahrettin KAYA
Esra YAVUZ
Şeyma KOÇ
Ömer Faruk KARAOKUR
Pages
7–10
Publication Date
2019-01-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It is thought that the result of this study will help the researchers trying to find out especially the outlier observations.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Outlier observations are observations that are out of the tendency of all observations in a data set.
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Key Findings & Data:For this purpose, the features such as hematokrit (htc), hemoglobin (hgb), mean platelet volume (mpv), platelet distribution width (pdw), nonbacterial prostatitis (nbp) and pulse pressure values measured in the blood of 315 heart patients were examined as data set.
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Conclusion & Impact:It is thought that the result of this study will help the researchers trying to find out especially the outlier observations.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Outlier observation · Mahalanobis distance · Threshold value

Abstract

Outlier observations are observations that are out of the tendency of all observations in a data set. The observations come out in situations such as faulty observation, incorrect data entry. It is important to be able to identify these observations as the results of statistical analysis, for example such as multiple regression analysis, can be quite sensitive against to these observations. Outlier observations are mostly determined by using distance calculation, statistical test and density based approaches. In this study, the distances of each observation vector to the center were calculated with Mahalanobis distance by using R program. For this purpose, the features such as hematokrit (htc), hemoglobin (hgb), mean platelet volume (mpv), platelet distribution width (pdw), nonbacterial prostatitis (nbp) and pulse pressure values measured in the blood of 315 heart patients were examined as data set. As a result of the research, sixteen observations were found as outlier observation. It is thought that the result of this study will help the researchers trying to find out especially the outlier observations.

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Cite This Article

KAYA, F., YAVUZ, E., KOÇ, Ş., KARAOKUR, Ö. F. (2019). A Study on Determination of Outlier Observations by Using Chi-Square Threshold Value. Black Sea Journal of Engineering and Science, Cilt: 2 - Sayı: 1, 7–10. https://ajindex.com/articles/745132

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