Some Contributions to Jackknife Methodology and Its Applications

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dc.contributor.advisorSrivastava, O. P.
dc.contributor.authorSaxena, Kuldeep Kuamr
dc.date.accessioned2018-06-28T12:26:05Z
dc.date.available2018-06-28T12:26:05Z
dc.date.issued1984
dc.description.abstractBesides nice properties of estimators , sometimes unbiasedness is also considered to be a desirable property all though unbiased estimators having Variances are not preferred In such cases there is a need either to modify these estimators or find other biased estimators with lower variances . Even for biased estimators, it is always possible to improve them by better techniques to lower the bias but not at the cost of increased variance . A method for reducing the bias in parametric estimation was introduced by Quenlouille {1949,56). which was later known as jackknife technique . The jackknife procedure depends upon judiciously dividing the data into groups, obtaining estimates from combination of these groups and then averaging the estimates. The notations used and procedure are given in (l .1.6) and (Ll.7). Its uses are two fold - one for reducing the bias of an estimator and second for obtaining approximate confidence interval in problems where other statistical procedures are difficult to applyen_US
dc.identifier.urihttp://krishikosh.egranth.ac.in/handle/1/5810055573
dc.keywordsStatisticsen_US
dc.language.isoenen_US
dc.publisherChaudhary Charan Singh Haryana Agricultural Univesity, Hisaren_US
dc.subStatisticsen_US
dc.subjectStatisticsen_US
dc.themeStatisticsen_US
dc.these.typePh.Den_US
dc.titleSome Contributions to Jackknife Methodology and Its Applicationsen_US
dc.typeThesisen_US
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