Kernel and Wavelet smoothing: Basic theory and examples of practical data analysis

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Authors	VESELÝ Vítězslav
Year of publication	1996
Type	Article in Proceedings
Conference	Proceedings and abstracts of ESES'96
MU Faculty or unit	Faculty of Science
Citation
Field	General mathematics
Keywords	kernel smoothing; wavelet smoothing
Description	Kernel and wavelet smoothing are two modern tools for data analysis at this time. We shall explain the basic theoretical ideas of both methods and confront the results obtained when processing each of three environmental data series by either method.
Related projects:	Additive stochastic models - development, computer implementation and application to the identification of environmental changes