Using strong inference to falsify differential equation models of sugar maple height growth-rejoinder
Research output: Contribution to journal › Comment/debate › Research › peer-review
Standard
Using strong inference to falsify differential equation models of sugar maple height growth-rejoinder. / Leary, Rolfe A.; Johannsen, Vivian Kvist.
In: Mathematical and Computational Forestry & Natural Resource Sciences, Vol. 2, No. 1, 2010, p. 15-17.Research output: Contribution to journal › Comment/debate › Research › peer-review
Harvard
Leary, RA & Johannsen, VK 2010, 'Using strong inference to falsify differential equation models of sugar maple height growth-rejoinder', Mathematical and Computational Forestry & Natural Resource Sciences, vol. 2, no. 1, pp. 15-17.
APA
Leary, R. A., & Johannsen, V. K. (2010). Using strong inference to falsify differential equation models of sugar maple height growth-rejoinder. Mathematical and Computational Forestry & Natural Resource Sciences, 2(1), 15-17.
Vancouver
Leary RA, Johannsen VK. Using strong inference to falsify differential equation models of sugar maple height growth-rejoinder. Mathematical and Computational Forestry & Natural Resource Sciences. 2010;2(1):15-17.
Author
Bibtex
@article{43c3f2a19a3a483fb08ce70eba3898a3,
title = "Using strong inference to falsify differential equation models of sugar maple height growth-rejoinder",
author = "Leary, {Rolfe A.} and Johannsen, {Vivian Kvist}",
year = "2010",
language = "English",
volume = "2",
pages = "15--17",
journal = "Mathematical and Computational Forestry and Natural-Resource Sciences",
issn = "1946-7664",
publisher = "University of Georgia",
number = "1",
}
RIS
TY - JOUR
T1 - Using strong inference to falsify differential equation models of sugar maple height growth-rejoinder
AU - Leary, Rolfe A.
AU - Johannsen, Vivian Kvist
PY - 2010
Y1 - 2010
M3 - Comment/debate
VL - 2
SP - 15
EP - 17
JO - Mathematical and Computational Forestry and Natural-Resource Sciences
JF - Mathematical and Computational Forestry and Natural-Resource Sciences
SN - 1946-7664
IS - 1
ER -
ID: 32324802