A general censoring scheme for circular data

DOI10.1016/j.stamet.2008.10.002zbMath1463.62295OpenAlexW2061204113MaRDI QIDQ537362

Vasudevan Mangalam, Sreenivasa Rao Jammalamadaka

Publication date: 20 May 2011

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://escholarship.org/uc/item/4qh0j2k7

zbMATH Keywords

von Mises distributionmaximum likelihood estimatorsdirectional datalarge-sample propertiesnonparametric MLEgeneralized censoring schemeMonte Carlo performanceself-consistent estimator

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Nonparametric estimation (62G05) Censored data models (62N01)

Related Items (4)

Semiparametric Models with Covariates for Lifetime Data under a General Censoring Scheme with an Application to Contingent Valuation ⋮ A semi-parametric regression model for analysis of middle censored lifetime data ⋮ Additive risks regression model for middle censored exponentiated-exponential lifetime data ⋮ Analysis of Gamma and Weibull lifetime data under a general censoring scheme and in the presence of covariates

Uses Software

• CircStats
• circular

Cites Work

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• Analysis of middle-censored data with exponential lifetime distributions
• A large sample study of generalized maximum likelihood estimators from incomplete data via self-consistency
• Algorithms for computing self-consistent and maximum likelihood estimators with doubly censored data
• Self-consistency: A fundamental concept in statistics
• Topics in Circular Statistics
• Nonparametric estimation for middle-censored data
• Linear Statistical Inference and its Applications

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