In January 2019 the forest industry in Ukraine adopted European standards for measuring and grading of round wood based on mid-point diameters, which caused major discrepancies from traditionally used estimates timber volume using top diameters. To compare methods merchantable estimation, we investigated stem form inside bark two dominant tree species Ukraine, i.e. Scots pine (Pinus sylvestris ...

Comparisons between empirical and theoretical allometric models for estimating tree biomass and the statistical caveats attached to empirical stem volume equations are presented in this paper. First, the elastic and stress similarity models, derived from fi rst biomechanical principles, as well as predictions obtained from geometric similitude, were validated against allometric equations that r...

approved: Douglas A. Maguire Forest growth models in the Pacific Northwest are predominantly empirical. Predictions of yield under alternative silvicultural regimes cannot rely completely on field trials; yet empirical growth models are often inadequate for extrapolating untested regimes and genotypes. The limitations of current models include (1) long time-steps (e.g. 5-10 years); (2) insuffic...

AMS 2000 subject classifications: 62F35 62G20 Keywords: Double robustness Empirical likelihood Heteroscedasticity Kernel estimation Partially linear model Semiparametric efficiency a b s t r a c t We make empirical-likelihood-based inference for the parameters in heteroscedastic partially linear models. Unlike the existing empirical likelihood procedures for heteroscedastic partially linear mod...

We consider an empirical likelihood inference for parameters defined by general estimating equations when some components of the random observations are subject to missingness. As the nature of the estimating equations is wide-ranging, we propose a nonparametric imputation of the missing values from a kernel estimator of the conditional distribution of the missing variable given the always obse...

We consider an empirical likelihood inference for parameters defined by general estimating equations when some components of the random observations are subject to missingness. As the nature of the estimating equations is wide ranging, we propose a nonparametric imputation of the missing values from a kernel estimator of the conditional distribution of the missing variable given the always obse...

Prediction of maximum local scour is necessary for the safety and economical design of the bridges. A number of equations have been developed over the years to predict local scour depth using laboratory data and a few pier equations have also been proposed using field data. Most of these equations are empirical in nature as indicated by the past publications. In this paper attempts have been ma...

Most research in biology is empirical, yet empirical studies rely fundamentally on theoretical work for generating testable predictions and interpreting observations. Despite this interdependence, many empirical studies build largely on other empirical studies with little direct reference to relevant theory, suggesting a failure of communication that may hinder scientific progress. To investiga...