Modeling Tree Stem Taper, Volume and Biomass
An Evaluation of Modeling Techniques
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The individual tree growth and yield models, such as stem taper, volume, biomass and height growth, play an important role in forest growth and yield prediction and projection systems. The reliability of a forest growth and yield system has been based on estimator characteristics such as consistency, efficiency and sufficiency. Recently, modeling techniques have received a great deal of attention in forest growth and yield modeling. This book, therefore, provides mathematical modeling approaches for stem taper, volume, biomass and tree height. Three modeling techniques of nonlinear least squar...
The individual tree growth and yield models, such as
stem taper, volume, biomass and height growth, play
an important role in forest growth and yield
prediction and projection systems. The reliability
of a forest growth and yield system has been based
on estimator characteristics such as consistency,
efficiency and sufficiency. Recently, modeling
techniques have received a great deal of attention
in forest growth and yield modeling. This book,
therefore, provides mathematical modeling approaches
for stem taper, volume, biomass and tree height.
Three modeling techniques of nonlinear least squares
(NLS) regression, simultaneous fitting procedure
(SUR), and nonlinear mixed-effects (NLME) modeling
procedures were evaluated. This book will be of
interest to forest managers, foresters, students and
researchers in forest management.
stem taper, volume, biomass and height growth, play
an important role in forest growth and yield
prediction and projection systems. The reliability
of a forest growth and yield system has been based
on estimator characteristics such as consistency,
efficiency and sufficiency. Recently, modeling
techniques have received a great deal of attention
in forest growth and yield modeling. This book,
therefore, provides mathematical modeling approaches
for stem taper, volume, biomass and tree height.
Three modeling techniques of nonlinear least squares
(NLS) regression, simultaneous fitting procedure
(SUR), and nonlinear mixed-effects (NLME) modeling
procedures were evaluated. This book will be of
interest to forest managers, foresters, students and
researchers in forest management.
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