Effects of measurement error on Monte Carlo integration estimators of tree volume: sample diameters measured at random upper-stem heights

By Lynch Thomas B.  

Canadian Journal of Forest Research, Vol. 45, Iss. 4, 2015-01 ,pp. : 471-479

NRC Research Press

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The unbiasedness of a generalized mirage boundary correction method for Monte Carlo integration estimators of volume

By Lynch Thomas B.   Gove Jeffrey H.  

Canadian Journal of Forest Research, Vol. 44, Iss. 7, 2014-01 ,pp. : 810-819

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New regression estimators in forest inventories with two-phase sampling and partially exhaustive information: a design-based Monte Carlo approach with applications to small-area estimation

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Canadian Journal of Forest Research, Vol. 43, Iss. 11, 2013-01 ,pp. : 1023-1031

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Comparison of classical, kernel-based, and nearest neighbors regression estimators using the design-based Monte Carlo approach for two-phase forest inventories

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Canadian Journal of Forest Research, Vol. 45, Iss. 11, 2015-01 ,pp. : 1480-1488

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Monte Carlo evaluation of a nonlinear regression estimator for aggregated length–weight data

By Lee Yong-Woo   Sampson David B  

Canadian Journal of Fisheries and Aquatic Sciences, Vol. 62, Iss. 2, 2005-02 ,pp. : 362-373

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