Statistical estimation in survey sampling encompasses a range of methods designed to infer population parameters from observed data in a manner that is both unbiased and efficient. Traditional ...
Kernel density estimation (KDE) is a cornerstone of non-parametric statistics, offering a flexible means to infer an underlying probability density from finite samples without assuming a predetermined ...
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