Poudel, Pratishtha, Bello, Nora M., Lollato, Romulo P., and Alderman, Phillip D. A hierarchical Bayesian approach to dynamic ordinary differential equations modeling for repeated measures data on wheat growth. Retrieved from https://par.nsf.gov/biblio/10343754. Field Crops Research 283.C Web. doi:10.1016/j.fcr.2022.108549.

Poudel, Pratishtha, Bello, Nora M., Lollato, Romulo P., & Alderman, Phillip D. A hierarchical Bayesian approach to dynamic ordinary differential equations modeling for repeated measures data on wheat growth. Field Crops Research, 283 (C). Retrieved from https://par.nsf.gov/biblio/10343754. https://doi.org/10.1016/j.fcr.2022.108549

Poudel, Pratishtha, Bello, Nora M., Lollato, Romulo P., and Alderman, Phillip D. "A hierarchical Bayesian approach to dynamic ordinary differential equations modeling for repeated measures data on wheat growth". Field Crops Research 283 (C). Country unknown/Code not available. https://doi.org/10.1016/j.fcr.2022.108549. https://par.nsf.gov/biblio/10343754.

@article{osti_10343754,
place = {Country unknown/Code not available}, title = {A hierarchical Bayesian approach to dynamic ordinary differential equations modeling for repeated measures data on wheat growth}, url = {https://par.nsf.gov/biblio/10343754}, DOI = {10.1016/j.fcr.2022.108549}, abstractNote = {}, journal = {Field Crops Research}, volume = {283}, number = {C}, author = {Poudel, Pratishtha and Bello, Nora M. and Lollato, Romulo P. and Alderman, Phillip D.}, }