Estimation of plant biomass based on the allometric equation
1981 ◽
Vol 11
(4)
◽
pp. 833-834
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Estimation of the parameters in the allometric equation by fitting a simple linear regression to the logarithmically transformed variables results in biased estimates of the arithmetic mean. This bias expressed as a percent of the mean approaches the limit −(1 − e−σ2/2) (100) as n increases. An adjusted estimator developed by Finney rather than the one given by Baskerville should be used when s2 is large and n is small. A change of measurement scale of the x or y variables presents no difficulty, but problems arise if variables are transformed to logarithms other than base e.
2000 ◽
Vol 07
(03)
◽
pp. 223-236
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2002 ◽
Vol 31
(1)
◽
pp. 107-117
2019 ◽
Vol XLII-4/W14
◽
pp. 203-207
Keyword(s):
2021 ◽
Vol 2
(1)
◽
pp. 057-062
Keyword(s):
2019 ◽
Vol 10
(9)
◽
pp. 902-909