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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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Subject: Statistics × Author: Chaudhary, P. S. × End date: 1994 × Type: Thesis × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    Design and Analysis in tow and Tree Ways Stratification
    (Chaudhary Charan Singh Haryana Agricultural Univesity, Hisar, 1984) Chaudhary, P. S.; Chaduhary, E. L
    In sample surveys, stratification as a well-known device used mainly to increase the precision of an estimator. In practice, one has a number of .factors for stratification but due to sample size and other design considerations the resulting number of factors that can be accommodated are so limited that sampler's options are quite restricted. Under such circumstances, one restricts either to the choice to most effective factor for stratification and abandons the others or chooses the most effective strata from various combinations of two or more factors. In that case, the resulting strata will be more heterogeneous than one would like, thus forgoing the ultimate aim of stratification. To overcome these restrictions, multiple stratification designs have been used ~y different workers under different labels like deep stratification (Tepping at al, 1943), two way stratification (Hartley, 1954), Bryant et al (1960), controlled selections (Goodman and Kish, 1950), probability lattice sampling (Jessen, 1973) whereby two or more Factors have been simultaneously used for stratification and multi way table of strata cells thus formed are used for sample selection and analysis.