Smooth estimation of circular cumulative distribution functions and quantiles
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Publication:3145407
DOI10.1080/10485252.2012.721517zbMath1254.62041OpenAlexW2062368495WikidataQ61847748 ScholiaQ61847748MaRDI QIDQ3145407
Agnese Panzera, Marco Di Marzio, Charles C. Taylor
Publication date: 20 December 2012
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485252.2012.721517
circular kernelscircular orderangular riskNadaraya-type quantile estimatorParzen-type quantile estimator
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Related Items (3)
Recent advances in directional statistics ⋮ Data-driven stabilizations of goodness-of-fit tests ⋮ Nonparametric circular quantile regression
Cites Work
- Kernel estimators of density function of directional data
- Kernel density estimation with spherical data
- Kernel density estimation on the torus
- Local polynomial regression for circular predictors
- Relative deficiency of kernel type estimators of quantiles
- CDF and survival function estimation with infinite-order kernels
- Statistical Analysis of Circular Data
- Bandwith selection for the smoothing of distribution functions
- Non‐parametric smoothing and prediction for nonlinear circular time series
- A New Kernel Distribution Function Estimator Based on a Non‐parametric Transformation of the Data
- Some New Estimates for Distribution Functions
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