Statistical Analysis of Export of Grapes From India
| dc.contributor.advisor | S.N. Megeri | |
| dc.contributor.author | Vijayakumar S. | |
| dc.date.accessioned | 2016-11-14T16:53:19Z | |
| dc.date.available | 2016-11-14T16:53:19Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | The export data on fresh and dried grapes (raisins) were collected for the period of 1987-2011. The parameters of logistic distribution and logistic model were estimated using the total export values for the period of 1987-2011, and future export values were predicted. The country wise export data was available from 1995-2011. The data was used to find out the transitional probability matrix and for comparing different growth models. The important statistical tools used for the purpose were, logistic distribution using method of moments, logistic model using Levenberg- Marquardt method, Markov-chain analysis, Co-efficient of Variation, monomolecular model, exponential model and Gompertz model. The logistic distribution and model were fitted and the year wise estimated values had calculated, further to test for the presence of autocorrelation in the residuals, the Durbin–Watson statistic was used. The transitional probability matrix showed, the Netherlands was one of the most reliable importer of Indian fresh grapes whereas, Egypt Arab Republic was most reliable importer of raisins. The results for both, fresh and dried grapes, ‘other country’ showed more reliable importer. The results from the instability analysis, UK were stable importer and Saudi Arabia is the most unstable importer of Indian fresh grapes. Instability analysis found highly unstable for exporting raisins from India. The results found in comparing growth models, Gompertz model showed better fit to the Netherlands, Bangladesh and Saudi Arabia, as the MSE value showed less. For United Arab Emirates and UK, monomolecular model was better fit. For ‘other country’ category, exponential model shows better fit model. For raisins, Gompertz model showed better fit as MSE is less among the other two models and this has taken to estimate the predicted values for five years in advance. | en_US |
| dc.identifier.uri | http://krishikosh.egranth.ac.in/handle/1/85492 | |
| dc.publisher | UAS, Dharwad | en_US |
| dc.research.problem | Statistical Analysis of Export of Grapes From India | en_US |
| dc.sub | Agricultural Statistics | en_US |
| dc.theme | Statistical Analysis of Export of Grapes From India | en_US |
| dc.these.type | M.Sc | |
| dc.title | Statistical Analysis of Export of Grapes From India | en_US |
| dc.type | Thesis | en_US |