Joint Regression Analysis and Incorporation of Environmental Variables in Stochastic Frontier Production Function: An Application to Experimental Data of Winter Rye
| dc.contributor.author | Pereira, D. G. | |
| dc.contributor.author | Sampaio, Ana | |
| dc.contributor.editor | da Silva, João | |
| dc.contributor.editor | Caeiro, Frederico | |
| dc.contributor.editor | Natário, Isabel | |
| dc.contributor.editor | Braumann, Carlos | |
| dc.contributor.editor | Esquível, Manuel | |
| dc.contributor.editor | Mexia, João | |
| dc.date.accessioned | 2014-01-08T10:28:44Z | |
| dc.date.available | 2014-01-08T10:28:44Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | This chapter joins the main properties of two specific regression techniques, joint-regression analysis (JRA) and stochastic frontier approach (SFA) in the analysis of experimental data sets from a breeding program of winter rye (Secale cereale L.), conducted in Poland, Research Center for Cultivar Testing de Słupia Wielka, over the period 1997–1998. With JRA, a meta-model, based on several linear regressions, had been estimated in order to analyze multilocation trials of winter rye production and to select the best cultivars (more productive) for a related stratum (locality/genotype). With SFA, another regression model had been investigated to predict production rankings of cultivars, through individual efficiency estimates. These measures resulted from a stochastic production frontier on experimental data of production and different climate conditions. Both techniques show similar dominant cultivars for the same environments. | por |
| dc.identifier.authoremail | dgsp@uevora.pt | |
| dc.identifier.authoremail | sampaio@uevora.pt | |
| dc.identifier.citation | 1. Pereira, D. G.; Sampaio, A. (2013). Joint Regression Analysis and Incorporation of Environmental Variables in Stochastic Frontier Production Function: An Application to Experimental Data of Winter Rye. In Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications, da Silva, J.L.; Caeiro, F.; Natário, I.; Braumann, C.A.; Esquível, M.L.; Mexia, J. (Eds.), Springer, Berlin, pp. 325-336, Print ISBN: 978-3-642-34903-4, Online ISBN: 978-3-642-34904-1, URL: http://link.springer.com/chapter/10.1007/978-3-642-34904-1_34 | por |
| dc.identifier.doi | 10.1007/978-3-642-34904-1_34 | |
| dc.identifier.scientificarea | 336 | por |
| dc.identifier.sharewith | DMAT | por |
| dc.identifier.uri | http://link.springer.com/chapter/10.1007%2F978-3-642-34904-1_34 | |
| dc.identifier.uri | http://hdl.handle.net/10174/9335 | |
| dc.language.iso | eng | por |
| dc.publisher | Springer Berlin Heidelberg | por |
| dc.rights | restrictedAccess | por |
| dc.subject | Stochastic Frontier Production Function | por |
| dc.subject | Joint Regression Analysis | por |
| dc.subject | Winter rye (Secale cereale L.) | por |
| dc.subject | Environmental Variables | por |
| dc.title | Joint Regression Analysis and Incorporation of Environmental Variables in Stochastic Frontier Production Function: An Application to Experimental Data of Winter Rye | por |
| dc.type | bookPart | por |
| degois.publication.firstPage | 325 | por |
| degois.publication.lastPage | 336 | por |
| degois.publication.location | Selected Papers of the Statistical Societies | por |
| degois.publication.title | Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications | por |
| degois.publication.volume | Studies in Theoretical and Applied Statistics | por |