Introducing the theoretical, testing and control aspects of structural dynamics and vibration, this straightforward text, primer and reference opens up the dynamic behavior of structures and provides ...
Kernel density estimation (KDE) is a versatile nonparametric approach to infer continuous probability distributions from finite samples. By superimposing smooth kernel functions—most commonly Gaussian ...
Bernstein polynomial estimators employ weighted sums of Beta basis functions to approximate unknown probability density functions on compact intervals. By representing the target density as a convex ...
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