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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: Deepti Singh × End date: 2009 × Start date: 2000 × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    Principal variables selection in multivariate analysis
    (CCSHAU, 2007) Deepti Singh; Hooda, B.K.
    Practical as well as theoretical considerations compel the researchers dealing with huge data sets to select principal variables or to discard the redundant variables. Selection or discarding of variables simplifies the analysis and also makes the interpretations of the results easier. In the present study, we discussed and critically reviewed various variable selection and variable discarding procedures. In particular we emphasized on determining the subset of principal variables which provided maximum information using the concept of Principal Component Analysis and that preserved the group structure of the data using Procrustes Analysis. We also made use of generalized dependence and multivariate association based on Canonical Correlation Analysis for selection of principal variables. Comparative study of various variables selection procedures was made using three similarity measures viz., RV- Coefficient, Jolliffe similarity and percentage of variation explained. Empirical comparison was made using both covariance as well as correlation matrix as input. Various variable selection procedures have been applied on mustard data obtained from the department of plant breeding, CCSHAU, Hisar for selection of principal variables