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  1. Kerala Agricultural University Digital Library
  2. 1. KAUTIR (Kerala Agricultural University Theses Information and Retrieval)
  3. PG Thesis
a
Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/7034
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dc.contributor.advisorPrabhakaran, P V-
dc.contributor.authorRani John, V-
dc.date.accessioned2020-02-10T10:36:12Z-
dc.date.available2020-02-10T10:36:12Z-
dc.date.issued1990-
dc.identifier.siciCoh T-509en_US
dc.identifier.urihttp://hdl.handle.net/123456789/7034-
dc.description.abstractThe suitability of different statistical techniques for the analysis of data of long term fertiliser trials was examined with the help of secondary data gathered from the permanent manurial experiment in paddy at Regional Agricultural Research station. Pattambi and certain new methods with distinct advantages over the existing methods were suggested for the same. The relative efficiencies of various mathematical functions in representing the yield-fertiliser relationship and in estimating the optimum level of the applied nutrient were also evaluated on the basis of secondary data gathered from the various fertiliser experiments on paddy conducted at the various rice research stations under the KAU during the last ton years. Two new mathematical.functions were also developed to represent toe response pattern for certain types of trivial data. The methods evaluated for the analysis of data of long term trials include method of groups of experiments split plot analysis* principal component analysis non parametric method proposed by Rai and Rao stability analysis proposed by Eberhart and Russell.Iran parametric stability analysis proposed by Kassar and Kuhn and analysis based on principle of game theory. A new non parametric method as an extension of Friedman's two way analysis of variance by ranks was also developed for the analysis of such data. This method was found to be almost as powerful as the method proposed by Rai and Rao and hence can be regarded as on improvement over the existing methods as it is free from any stringent assumptions on the nature of the underlying universe. Principal component analysis was also found to be empirically atleast as efficient as tho method of groups of experiments/split plot analysis and can be adjudged to be a bettor alternative to the solution of the same problem on the grounds of theoretical and statistical validity.en_US
dc.language.isoenen_US
dc.publisherDepartment of Agricultural Statistics, College of Horticulture, Vellanikkaraen_US
dc.subjectPitting of response modelsen_US
dc.subjectAnalysis of data of long term experimentsen_US
dc.titleStatistical investigations on the analysis of data of long term manurial trials on paddyen_US
dc.typeThesisen_US
Appears in Collections:PG Thesis

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