Pages that link to "Item:Q693222"
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The following pages link to New approaches to nonparametric density estimation and selection of smoothing parameters (Q693222):
Displaying 11 items.
- Computational aspects of nonparametric smoothing with illustrations from the \texttt{sm} library (Q951888) (← links)
- A hierarchical modeling approach for clustering probability density functions (Q1621283) (← links)
- Basic singular spectrum analysis and forecasting with R (Q1621374) (← links)
- On bandwidth selection using minimal spanning tree for kernel density estimation (Q1659027) (← links)
- Smoothing the non-parametric estimate of a prior distribution by roughening: A computational study (Q1896163) (← links)
- Sampling Plans for Control-Inspection Schemes Under Independent and Dependent Sampling Designs with Applications to Photovoltaics (Q2787318) (← links)
- Nonparametric Estimation of a Density of Unknown Smoothness (Q3723492) (← links)
- Nonlinearly Smoothed EM Density Estimation With Automated Smoothing Parameter Selection for Nonparametric Deconvolution Problems (Q4376021) (← links)
- A new method for nonparametric density estimation (Q4485013) (← links)
- Panel‐based stratified cluster sampling and analysis for photovoltaic outdoor measurements (Q4620184) (← links)
- Estimation of the quantile function using Bernstein–Durrmeyer polynomials (Q5419452) (← links)
