Some Contributions to Jackknife Methodology and its Application

dc.contributor.advisorSrivastava, O. P.
dc.contributor.authorSaxena, Kuldeep Kumar
dc.date.accessioned2018-07-18T06:17:50Z
dc.date.available2018-07-18T06:17:50Z
dc.date.issued1984
dc.descriptionmatioen_US
dc.description.abstractbesides•• sufficiency. efficiency end consistency. the unbid•Mend•• la also considered to be a desirable property of an estimator.. Let Q be any parameter of interest and A 9 be .,V reasonable estimator of 9. whence by evaluating the expectation of unbiased statistic may be derived provided the !(9) ls ., explicit function of Q. but often the complexity of the expected value presents a major drawback.,d then it ruy not be possible• to find an unbiased . statistic at all and •~ other .. method may be needed to /\improve 9 in the sense that its bi•• la reduced. such situations occur ln almost st. all types of • estimation problems.For last half century efforts have been made in problam the existing estimators or deriving new estimators with the help of various techniques. Jackknife is one such technique which •may be applied to various problems. In sec~ton l.l of this chapter, present the review the jackknife technique, used in bias reduction and obtaining confidence intervals . Section 1.2 and section 1.3 are d.voted to the review of two •-.Pl• jackknife technique ~ review of the application• of jackknife technique in linear regression models, respectively. Section 1.• l• d.woted to the review of the syn'lftetric functiona. 1en_US
dc.identifier.urihttp://krishikosh.egranth.ac.in/handle/1/5810060699
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 Applicationen_US
dc.typeThesisen_US
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