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M. Sc. Dissertations

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Subject: Statistics × End date: 2007 × Start date: 2007 ×
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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
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    ThesisItemOpen Access
    An empirical study of gca and sca effects for wheat crop using Griffing (1956) model
    (CCSHAU, 2007) Malik, Nisha; Hasija, R.C.
    An abstract of the thesis submitted to CCS HAU, Hisar in partial fulfillment of requirement for the degree of Master of Science in Statistics. The development of new varieties by the plant breeders has helped in bringing about Green Revolution in our country. One of the most common breeding methods is hybridization. Mating designs, in general, provide a very simple and convenient method of generating crosses in one or two generations.In the present study critical review of the mating designs has been done and secondary diallel data on nine varieties of wheat namely (WG II, Pewee’s, Buck Buck, Tanager, Junco’s, Harrier, Moncho’s S-308, Bb-Kal) has been analyzed using Griffing (1956) model for all the four methods for two years 1982, 1983 by taking two characters grain yield and tiller/plants.