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A General Censoring Scheme for Circular Data by S. Rao Jammalamadaka; Vasudevan Mangalam is a Mathematics article available to read on EtoBox.

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A generalized censoring scheme in the survival analysis context was introduced by the authors in Jammalamadaka and Mangalam [S. Rao Jammalamadaka, V. Mangalam, Nonparametric estimation for middle censored data, J. Nonparametr. Stat. 15 (2003) 253-265]. In this article we discuss how such a censoring scheme applies to circular data and in particular when the original data is assumed to come from a parametric model such as the von Mises. Maximum likelihood estimation of the parameters as well as their largesample properties are considered under this censoring scheme. We also consider nonparametric estimation of the circular probability distribution under such a general censoring scheme and use Monte Carlo methods to investigate its effects on the estimation of the mean direction and concentration.

Who reads A General Censoring Scheme for Circular Data?

Author

S. Rao Jammalamadaka; Vasudevan Mangalam

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 1572-3127)

Published

2009

Language

EN

Field

Mathematics (Physical Sciences)