1996
DOI: 10.1139/x26-178
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Measurement error causes bias in site index equations

Abstract: Modeling height in the context of site index involves two processes: (i) estimating height at base age (site index), given height at some other age, and (ii) estimating height at some desired age given height at base age. When these two processes are modeled by individual functions for each process, height is assumed to be measured without error when on the right-hand side of the equation, but possessing error when on the left-hand side of the equation. This assumption causes a bias in the parameters of the si… Show more

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Cited by 53 publications
(36 citation statements)
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“…All the parameters were found to be significant at a 5% level when the expansion factor proposed by [29] was applied.…”
Section: Resultsmentioning
confidence: 99%
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“…All the parameters were found to be significant at a 5% level when the expansion factor proposed by [29] was applied.…”
Section: Resultsmentioning
confidence: 99%
“…In this case, autocorrelation was modelled by expanding the error term in the following way [28,29,45]:…”
Section: Data Structure and Model Fittingmentioning
confidence: 99%
See 3 more Smart Citations