THE EFFECT OF SMOOTHING PARAMETER IN KERNELS AGGREGATIONPage No: 4255-4262
By: Siloko, I U1, Ishiekwene, C C2 and Oyegue, F O
Keywords: Kernel density aggregation, kernel density estimator, smoothing parameter, multiplier factor, asymptotic mean integrated squared error (AMISE).
Abstract: Kernel density estimation depends on appropriate smoothing parameter selection in its implementation since the method
is mainly for data exploration and visualization purposes. While considering the effect of the smoothing parameter, the
form of aggregation employed will determine the size of the smoothing parameter required for better performance. This
paper considered two aggregating methods with respect to the asymptotic mean integrated squared error (AMISE) as the
criterion function by introducing the multiplier factor that regulates the selection of smoothing parameter in the
multiplicative aggregation. The results of the forms of aggregation considered were compared using real life data.
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