Nonparametric estimation of mixed partial derivatives of a multivariate density

DOI10.1016/0047-259X(76)90023-3zbMath0362.62039MaRDI QIDQ1239993

Radhey S. Singh

Publication date: 1976

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Mathematics Subject Classification ID

Multivariate analysis (62H99) Nonparametric estimation (62G05)

Related Items (12)

A new bandwidth selector in hazard estimation ⋮ A note on the convergence rates for empirical bayes estimators of parameters in multiple-parameter exponential families ⋮ Some results about kernel estimators for function derivatives based on stationary and ergodic continuous time processes with applications ⋮ Kernel density estimation on the torus ⋮ Speed of convergence in nonparametric estimation of a multivariate mu- density and its mixed partial derivatives ⋮ On local moments ⋮ Strongly consistent estimators of k-th order regression curves and rates of convergence ⋮ On Testing for the Nullity of Some Skewness Coefficients ⋮ On necessary and sufficient conditions for uniform strong consistency of estimators of a density and its derivatives ⋮ Asymptotics for function derivatives estimators based on stationary and ergodic discrete time processes ⋮ Nonparametric estimation of the ratios of derivatives of a multivariate distribution density from dependent observations ⋮ Error analysis for general multtvariate kernel estimators

Cites Work

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• Estimation of a Probability Density Function and Its Derivatives
• Convergence Rates for Empirical Bayes Two-Action Problems II. Continuous Case
• On Estimation of a Probability Density Function and Mode

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