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

dc.contributor.advisorThompson, James R.
dc.creatorChavarria, Silvia
dc.date.accessioned2018-12-18T21:29:27Z
dc.date.available2018-12-18T21:29:27Z
dc.date.issued1978
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.
dc.format.digitalOriginreformatted digital
dc.format.extent37 pp
dc.identifier.callnoThesis Math. Sci. 1978 Chavarria
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>.
dc.identifier.digitalRICE2361
dc.identifier.urihttps://hdl.handle.net/1911/104725
dc.language.isoeng
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.
dc.titleComparison between an algorithm for kernel estimation and an algorithm for variable kernel estimation
dc.typeThesis
dc.type.materialText
thesis.degree.departmentMathematical Sciences
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Arts
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