Calibrating fixed- and mixed-effects taper equations

By Q. V. Cao, Jing Wang. 2011

55 citations recorded by the source corpus.

Subfields: Environmental Engineering, Mechanical Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/eda716fd4831111e9d013fb94f7621acb17cf17e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Lauri Mehtätalo
2. Sergio de-Miguel
3. Som Bohora
4. Q. V. Cao

In Mechanical Engineering

1. Sergio de-Miguel
2. Q. V. Cao
3. Lauri Mehtätalo
4. Xiangdong Lei
5. Hao Zang
6. Weisheng Zeng
7. Guillermo Trincado
8. J. Parton

In Nature and Landscape Conservation

1. Sergio de-Miguel
2. Lauri Mehtätalo
3. Q. V. Cao
4. Som Bohora
5. Xiangdong Lei
6. Hao Zang
7. Weisheng Zeng
8. Guillermo Trincado

Citations in the corpus

• Evaluating marginal and conditional predictions of taper models in the absence of calibration data (2012, methodology): “Most previous studies dealing with mixed-effects models have focused on model calibration (conditional prediction) using additional measurements of upper stem diameters by means of an approximate Bayesian estimator or the best linear unbiased predictor (Trincado and Burkhart 2006; Yang et al. 2009; ”
• Prediction of tree diameter growth using quantile regression and mixed-effects models (2014, background): “, 2012), and tree taper (Cao and Wang, 2011), to name a few.”