1984
DOI: 10.1139/x84-144
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Variance estimation for volume when D2H is the covariate in regression

Abstract: For two realistic (but not real) populations of loblolly pine, variance estimators for weighed regression estimates of total volume are compared. The traditional variance estimators and two robust variance estimators proposed by Royall and Cumberland (R. M. Royall and W. G. Cumberland. 1981. JASA, J. Am. Stat. Assoc. 76: 924–930) are found to be quite unreliable. In contrast, the jackknife variance estimate and confidence intervals based on it are found to be much more reliable.

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Cited by 4 publications
(2 citation statements)
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“…In forestry literature, there are plenty of mathematical models which have been used by various authors in the construction of volume-tables and volume equations [12,13], while recent developments in this area were reported by [14][15][16][17][18][19][20][21][22]. In most cases, those models were found to be suitable for use in specific forests.…”
Section: Construction Volume Equationsmentioning
confidence: 99%
“…In forestry literature, there are plenty of mathematical models which have been used by various authors in the construction of volume-tables and volume equations [12,13], while recent developments in this area were reported by [14][15][16][17][18][19][20][21][22]. In most cases, those models were found to be suitable for use in specific forests.…”
Section: Construction Volume Equationsmentioning
confidence: 99%
“…Parameters for the two-part model (eq. 2) were determined using weighted regression with DSQH raised to the -1 .5 power as the weight (Schreuder and Anderson 1984).…”
Section: Modelingmentioning
confidence: 99%