Influence diagnostics in Log-Logistic regression model with censored data
Log-Logistic regression model arise in several areas of application. Traditional estimation methods for Log-Logistic regression model are sensitive to influential observations. Such bizarre observations can isolate analysis and lead to incorrect conclusions and actions. We suggest local influence di...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-03-01
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Series: | Alexandria Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016821004580 |