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| Titel: |
Bayesian Regression with Prior Non-sample Information on Mash Yield |
| Auteur: |
A. Ghafoor F. Muhammad I.A. Arshad |
| Verschenen in: |
Journal of applied sciences |
| Paginering: | Jaargang 5 (2005) nr. 1 pagina's 187-191 |
| Jaar: |
2005 |
| Inhoud: |
To increase the precision of estimated effect of a yield character "pod length" on mashbean grains yield, Bayesian regression technique with sample and prior non-sample information about pod length was applied on simple linear relation between mash grain yield and pod length. With the use of prior inequality information about regression coefficient on pod length, a reduction was observed in the estimated value of regression coefficient and its standard error. It was observed that prior inequality information about regression parameter is helpful to increase the precision of the regression estimates. Simulation procedure was developed to generate random residuals from Exponential (1) and Uniform (0, 1) distributions, to test the results. The results were compared with those based on original data set. |
| Uitgever: |
Asian Network for Scientific Information (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 7 van 80 gevonden artikelen
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