Two-sample location-scale estimation from semiparametric random censorship models

DOI10.1016/j.jmva.2014.07.011zbMath1360.62486OpenAlexW1970393673MaRDI QIDQ458627

Rianka Bhattacharya, Sundarraman Subramanian

Publication date: 8 October 2014

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2014.07.011

zbMATH Keywords

Gaussian processpower functionfunctional delta methodCauchy linkcensoring rateempirical coverage probability

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (2)

Function-based hypothesis testing in censored two-sample location-scale models ⋮ Semiparametric simultaneous confidence bands for the difference of survival functions

Cites Work

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• Model assisted Cox regression
• Asymptotically efficient estimation under semi-parametric random censorship models
• Model-based likelihood ratio confidence intervals for survival functions
• The multiple imputations based Kaplan-Meier estimator
• On semiparametric random censorship models
• Empirical process approach in a two-sample location-scale model with censored data
• A minimum distance estimation approach to the two-sample location-scale problem
• Advances in survival analysis.
• The central limit theorem under semiparametric random censorship models
• Nonparametric estimation of location and scale parameters
• Model-based confidence bands for survival functions
• A survey of product-integration with a view toward application in survival analysis
• Model Selection and Model Averaging
• Plotting with confidence: Graphical comparisons of two populations
• Nonparametric Statistical Data Modeling
• Inference for Shift Functions in the Two-Sample Problem With Right-Censored Data: With Applications
• A simple quantile approach to the two-sample location-scale problem with random censorship
• Linear Statistical Inference and its Applications
• Bootstrap Approximations in Model Checks for Binary Data
• Statistical models based on counting processes

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