Nonparametric estimation of the shape functions and related asymptotic results

M. D. Jiménez-Gamero () and J. C. Pardo-Fernández ()
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M. D. Jiménez-Gamero: Universidad de Sevilla
J. C. Pardo-Fernández: Universidade de Vigo

Statistical Papers, 2024, vol. 65, issue 3, No 16, 1575-1611

Abstract: Abstract Arriaza et al (Metrika 82:99–124, 2019) introduced the right and left shape functions, which enjoy interesting properties in terms of describing the global form of a distribution. This paper proposes and studies nonparametric estimators of those functions. The estimators involve nonparametric estimation of the quantile and density functions. Pointwise and uniform consistency are proved under general regularity assumptions, as well as the limit in law. Simulations are included to study the practical performance of the proposed estimators. The analysis of a real data set illustrates the methodology.

Keywords: Shape functions; Nonparametric estimation; Pointwise convergence; Weak convergence (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s00362-023-01456-7

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