Cite
Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data.
MLA
Buddhavarapu, Prasad, et al. “Modeling Unobserved Heterogeneity Using Finite Mixture Random Parameters for Spatially Correlated Discrete Count Data.” Transportation Research Part B: Methodological, vol. 91, Sept. 2016, pp. 492–510. EBSCOhost, https://doi.org/10.1016/j.trb.2016.06.005.
APA
Buddhavarapu, P., Scott, J. G., & Prozzi, J. A. (2016). Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data. Transportation Research Part B: Methodological, 91, 492–510. https://doi.org/10.1016/j.trb.2016.06.005
Chicago
Buddhavarapu, Prasad, James G. Scott, and Jorge A. Prozzi. 2016. “Modeling Unobserved Heterogeneity Using Finite Mixture Random Parameters for Spatially Correlated Discrete Count Data.” Transportation Research Part B: Methodological 91 (September): 492–510. doi:10.1016/j.trb.2016.06.005.