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Chaudhary Charan Singh Haryana Agricultural University, Hisar

Chaudhary Charan Singh Haryana Agricultural University popularly known as HAU, is one of Asia's biggest agricultural universities, located at Hisar in the Indian state of Haryana. It is named after India's seventh Prime Minister, Chaudhary Charan Singh. It is a leader in agricultural research in India and contributed significantly to Green Revolution and White Revolution in India in the 1960s and 70s. It has a very large campus and has several research centres throughout the state. It won the Indian Council of Agricultural Research's Award for the Best Institute in 1997. HAU was initially a campus of Punjab Agricultural University, Ludhiana. After the formation of Haryana in 1966, it became an autonomous institution on February 2, 1970 through a Presidential Ordinance, later ratified as Haryana and Punjab Agricultural Universities Act, 1970, passed by the Lok Sabha on March 29, 1970. A. L. Fletcher, the first Vice-Chancellor of the university, was instrumental in its initial growth.

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19842
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Subject: Statistics × Author: Saxena, Kuldeep Kuamr × End date: 2019 ×
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    ThesisItemOpen Access
    Some Contributons to Jacknife Methodology and Its Applications
    (Department of Mathematics And Statistics College of Basic Sciences and Humanities Punjab Agricultural University, 1984) Saxena, Kuldeep Kuamr; Srivastava, O. P.
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    ThesisItemOpen Access
    Some Contributions to Jackknife Methodology and Its Applications
    (Chaudhary Charan Singh Haryana Agricultural Univesity, Hisar, 1984) Saxena, Kuldeep Kuamr; Srivastava, O. P.
    Besides 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 apply