Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...
specifies the bandwidth multipliers for the kernel density estimate. You should specify one number for univariate smoothing and two numbers separated by a comma for bivariate smoothing. The default ...
We consider density estimation when the variable of interest is subject to heteroscedastic measurement error. The density is assumed to have a smooth but unknown ...
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