Estimating the distribution function using parametric methods in informative model of random censorship from both sides

DOI10.1007/978-3-031-32990-6_19OpenAlexW4376863721MaRDI QIDQ6201656

Mansurov Dilshod Ravilovich, Abdushukurov Abdurakhim Akhmedovich

Publication date: 25 March 2024

Published in: Information Technologies and Mathematical Modelling. Queueing Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-031-32990-6_19

zbMATH Keywords

exponential distributionGaussian processproportional hazardsrandom censorshipinformative model

Mathematics Subject Classification ID

Queueing theory (aspects of probability theory) (60K25) Queues and service in operations research (90B22) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20)

Cites Work

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• Density estimation in the simple proportional hazards model
• The tight constant in the Dvoretzky-Kiefer-Wolfowitz inequality
• Maximum likelihood estimation of a survival function under the Koziol- Green proportional hazards model
• The asymptotic distribution of the suprema of the standardized empirical processes under the Koziol-Green model
• Kernel distribution function estimation under the Koziol-Green model
• Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator
• Families of Confidence Bands for the Survival Function under the General Random Censorship Model and the Koziol-Green Model
• Nonparametric estimation of the survival function from censored data based on relative risk function
• A Comparison of Survival Function Estimators in the Koziol–Green Model
• The Paradoxical Nature of The Proportional Hazards Model of Random Censorship

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