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, ...
A database on the rain rate collected with disdrometers at various sites located from the middle to tropical latitudes is used to analyze the variations of the parameters of the probability density ...
Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 45, No. 2 (1996), pp. 135-150 (16 pages) Motivated by the line transect aerial surveys of Southern Bluefin Tuna in the sea ...
The control limits can be replaced with the corresponding percentiles from a fitted lognormal distribution. The equation for the lognormal density function is where denotes the shape parameter and ...
Kernel density estimation (KDE) and nonparametric methods form a cornerstone of contemporary statistical analysis. Unlike parametric approaches that assume a specific functional form for the ...
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