Srivastava, O. P.Saxena, Kuldeep Kuamr2018-06-282018-06-281984http://krishikosh.egranth.ac.in/handle/1/5810055573Besides 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 applyenStatisticsThesis