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dc.contributor.authorJakperik, Dioggban
dc.contributor.authorOtieno, Romanus Odhiambo
dc.contributor.authorOrwa, George Otieno
dc.date.accessioned2018-10-31T06:12:10Z
dc.date.accessioned2020-02-06T13:48:26Z
dc.date.available2018-10-31T06:12:10Z
dc.date.available2020-02-06T13:48:26Z
dc.date.issued2018
dc.identifier.urihttp://repository.must.ac.ke/handle/123456789/959
dc.description.abstractIn this study, a multiplicative semiparametric fourth order bias reduction density is proposed. The proposed density accommodates all parametric distributions and produces optimum results even in situations where the underlying parametric distributions are not the best approximations to the correct density of the data. This offers an impressive option for estimating statistics with large sample propertiessuch as complex indixes. It consists of parametric estimate multiplied by a nonparametric correction function. The simulation results show its practical potentialen_US
dc.language.isoenen_US
dc.publisherPushpa Publishing Houseen_US
dc.subjectSemiparametric density function, Bias reduction, Variance, Bandwidth, Kernel function.en_US
dc.titleA SEMI-PARAMETRIC MULTIPLICATIVE BIAS REDUCTION DENSITY WITH A PARAMETRIC STARTen_US
dc.typeArticleen_US


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