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- Title
BEST STATISTICAL MODEL ESTIMATION FOR MUSTARD YIELD IN AZAD KASHMIR, PAKISTAN.
- Authors
Saleem, A.; Abbas, K.; Asad, Kh.; Anjum, M. S.
- Abstract
The study proposed a statistical modeling methodology for mustard crop which is the rich source of quality plant proteins and edible oil in Pakistan. We have identified the different mustard plant traits, which contribute to the mustard seed yield significantly, using regression modeling techniques. The necessary assumptions required for regression modeling have been tested and all the assumptions are satisfied by the given data. For the selection of parsimonious model for mustard crop different criterions such as best subset regression and stepwise regression procedures have been applied. Through the modeling process it has been identified that Erucic Acid (X1) and Pods Length (X6) regressors significantly contributes to increase the production of mustard crop in Pakistan.
- Subjects
PAKISTAN; STATISTICAL models; MUSTARD; CROP yields; REGRESSION analysis; AGRICULTURAL productivity
- Publication
Pakistan Journal of Science, 2013, Vol 65, Issue 1, p77
- ISSN
0030-9877
- Publication type
Article