A Cox parametric bootstrap test of the von Liebig hypotheses

dc.creatorKaitibie, S.
dc.creatorNganje, W.E.
dc.creatorBrorsen, B.W.
dc.creatorEpplin, F.M.
dc.date2007-03
dc.date2010-03-17T18:25:31Z
dc.date2010-03-17T18:25:31Z
dc.date.accessioned2026-06-27T16:45:16Z
dc.descriptionThis study uses a Cox parametric bootstrap test to select between two specifications of the von Liebig hypothesis, a switching regression (SR) model, and a linear response function with a stochastic plateau. Specifying the production function as a linear response function with a stochastic plateau yields a superior approximation of the data for livestock gain as a function of forage allowance than the SR approach.
dc.identifierhttps://hdl.handle.net/10568/825
dc.identifier.urihttp://hdl.handle.net/123456789/132255
dc.languageen
dc.publisherWiley
dc.rightsLimited Access
dc.sourceKaitibie, S.; Nganje, W.E.; Brorsen, B.W.; Epplin, F.M. 2007. A Cox parametric bootstrap test of the von Liebig hypotheses. Canadian Journal of Agricultural Economics. 55(1):15-25.
dc.titleA Cox parametric bootstrap test of the von Liebig hypotheses
dc.typeJournal Article

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