2016/02/21 by Pury, Pedro A.
#60K25 #90B22 #Applications (stat.AP) #FOS: Computer and information sciences
paper · doi:10.48550/arxiv.1602.06579
We present predictive tools to calculate the number of ambulances needed according to demand of entrance calls and time of service. Our analysis discriminates between emergency and non-urgent calls. First, we consider the nonstationary regime where we apply previous results of first-passage time of one dimensional random walks. Then, we reconsider the stationary regime with a detailed discussion of the conditional probabilities and we discuss the key performance indicators.