R–estimation of normed bivariate density functions

DOI10.1080/02331888708802053zbMath0653.62028OpenAlexW2009139355MaRDI QIDQ3799500

Egmar Rödel

Publication date: 1987

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888708802053

zbMATH Keywords

positive dependencedensity estimationLegendre polynomialsFourier series expansionsquantile functionsbivariate ranksR-estimationAsymptotic propertiesmarginal distribution functionsnormed bivariate density

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Nonparametric estimation (62G05) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (5)

Linear rank tests for independence in bivariate distributions-power comparisons by simulation ⋮ Semiparametric multivariate density estimation for positive data using copulas ⋮ Semiparametric Density Estimators Using Copulas ⋮ Linear bank statistics with estimated scores for testing independence ⋮ Asymptotic properties of the Bernstein density copula estimator for \(\alpha \)-mixing data

Cites Work

• Unnamed Item
• On nonparametric measures of dependence for random variables
• Monotone dependence
• Probability Inequalities for Sums of Bounded Random Variables
• Some Concepts of Dependence

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