Influence diagnostics in Log-Logistic regression model with censored data

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...

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Bibliographic Details
Main Authors: Javeria Khaleeq, Muhammad Amanullah, Alanazi Talal Abdulrahman, E.H. Hafez, M.M.Abd El-Raouf
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:Alexandria Engineering Journal
Subjects:
Log-Logistic distribution
Censoring
Generalized Cook’s Distance
Local influence
Perturbation
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016821004580

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