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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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  • ThesisItemOpen Access
    A New Design For Cluster Sanpling
    (Department of Sociology College of Basic Sciences and Humanities College of Agriculture Chaudhary Charan Singh Haryana Agricultural University Hisar, 1996) Manjul, Jagan Nath; Nath, N.
  • ThesisItemOpen Access
    A New Design For Cluster Sampling
    (Chaudhary Charan Singh Haryana Agricultural Univesity, Hisar, 1984) Manjul, Jagan Nath; Nath, N.
    The main researches in the field of sampling designs is to provides designs which enable estimation of population characteristics with maximum possible precision with available resources or the use of minimum resources for obtaining estimates with given margin of error The choice of a sampling design depends upon operational convenience / cost involved and the precision required. The precision can be measured by variance Historically simple random sampling is the first method used in sample surveys and other methods may of viewed as its modifications to control its inherent drawbacks. In simple random sampling, units are drawn one after another and all possible samples of a given size are equally likely.