A Depth for Censured Functional Data

Anna M. Paganoni and Laura M. Sangalli

DES - Working Papers. Statistics and Econometrics. WS from Universidad Carlos III de Madrid. Departamento de Estadística

Abstract: Censured functional data are becoming more recurrent in applications. In those cases, the existing depth measure are useless. In this paper, an approach for measuring depths of censured functional data is presented. Its performance for finite samples is tested by simulation, showing that the new depth agrees with a integrated depth for uncensured functional data.

Keywords: Functional; Data; Partially; Observed; Data; Integrated; Depth (search for similar items in EconPapers)
Date: 2019-07-10
New Economics Papers: this item is included in nep-ecm
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Persistent link: https://EconPapers.repec.org/RePEc:cte:wsrepe:28579

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