Comparison between an algorithm for kernel estimation and an algorithm for variable kernel estimation

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dc.contributor.advisorThompson, James R.en_US
dc.creatorChavarria, Silviaen_US
dc.date.accessioned2018-12-18T21:29:27Zen_US
dc.date.available2018-12-18T21:29:27Zen_US
dc.date.issued1978en_US
dc.description.abstractThis work studies two different algorithms on non-parametric density estimators. The first algorithm, based on kernel density estimators, gives a method for approximating the optimal parameter The second algorithm studied works with variable kernel estimators finding for this estimator optimal parameters. Very good results were obtained with the samples studied, with the first algorithm. With the second one, several problems were found, with the implementation of the proposed algorithm as well as with the algorithm itself.en_US
dc.format.digitalOriginreformatted digitalen_US
dc.format.extent37 ppen_US
dc.identifier.callnoThesis Math. Sci. 1978 Chavarriaen_US
dc.identifier.citationChavarria, Silvia. "Comparison between an algorithm for kernel estimation and an algorithm for variable kernel estimation." (1978) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/104725">https://hdl.handle.net/1911/104725</a>.en_US
dc.identifier.digitalRICE2361en_US
dc.identifier.urihttps://hdl.handle.net/1911/104725en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.titleComparison between an algorithm for kernel estimation and an algorithm for variable kernel estimationen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentMathematical Sciencesen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Artsen_US
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