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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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1988 - 198921990 - 19971
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Subject: Statistics × Author: Grover, Deepak K. × End date: 1999 × Type: Thesis × Thesis Type: Ph.D ×
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    ThesisItemOpen Access
    Estimation of Parameters in Econometric Models From Grouped Data With Grou Errors are Correlated
    (College of Basic Sciences and Humanities Chaudhary Charan Singh Haryana Agricultural University Hisar, 1997) Grover, Deepak K.; Kaushik, L. S
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    ThesisItemOpen Access
    Estimation of Parameters in Econometric Models From Grouped Data With Grou Errors are Correlated
    (Chaudhary Charan Singh Haryana Agricultural Univesity, Hisar, 1988) Grover, Deepak K.; Kaushik, L. S
    Ia neutral as well u in social science , one is faced with the problem of explaining complex phenomenon of interplay of several variables. The data so generated are uncontrolled. the art of analysing such data by repression on analysis warrants the use of modified
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    ThesisItemOpen Access
    Estimation of Parameters in Econometric Models From Grouped Data When Group Errors are Correlated
    (Chaudhary Charan Singh Haryana Agricultural Univesity, Hisar, 1988) Grover, Deepak K.; Kaushik, L.S.
    In natural as well as in social sciences, one is faced with the problem of explaining complex phenomenon of interplay of several variables. The data so generated are uncontrolled. The art Of analyzing such data by regression analysis warrants the use of modified procedures as compared to ordinary least squares method because of the non-fulfillment of the assumptions of Gauss-Markoff theorem. The choice of the procedure depends upon the nature of population, interactions of variables, assumptions on the error structure information on the parameters, form of the model and availability of the data. Thus, any econometric study needs not only data but also appropriate statistical technique as an essential ingredient for drawing valid inferences.