Su, Z.; Hu, H.; Tigabu, M.; Wang, G.; Zeng, A.; Guo, F.
Geographically Weighted Negative Binomial Regression Model Predicts Wildfire Occurrence in the Great Xing’an Mountains Better Than Negative Binomial Model. Forests 2019, 10, 377.
https://doi.org/10.3390/f10050377
AMA Style
Su Z, Hu H, Tigabu M, Wang G, Zeng A, Guo F.
Geographically Weighted Negative Binomial Regression Model Predicts Wildfire Occurrence in the Great Xing’an Mountains Better Than Negative Binomial Model. Forests. 2019; 10(5):377.
https://doi.org/10.3390/f10050377
Chicago/Turabian Style
Su, Zhangwen, Haiqing Hu, Mulualem Tigabu, Guangyu Wang, Aicong Zeng, and Futao Guo.
2019. "Geographically Weighted Negative Binomial Regression Model Predicts Wildfire Occurrence in the Great Xing’an Mountains Better Than Negative Binomial Model" Forests 10, no. 5: 377.
https://doi.org/10.3390/f10050377
APA Style
Su, Z., Hu, H., Tigabu, M., Wang, G., Zeng, A., & Guo, F.
(2019). Geographically Weighted Negative Binomial Regression Model Predicts Wildfire Occurrence in the Great Xing’an Mountains Better Than Negative Binomial Model. Forests, 10(5), 377.
https://doi.org/10.3390/f10050377