Data envelopment analysis (DEA) is a nonparametric approach to evaluate theefficiency of decision making units (DMU) using mathematical programmingtechniques. Almost, all of the previous researches in stochastic DEA have been usedthe stochastic data when the inputs and outputs are normally distributed. But, thisassumption may not be true in practice. Therefore, using a normal distribution wi...

In this paper, we depart from TCP-Probing [13, 14] and propose an experimental transport protocol that has energy and throughput performance gains in both wired and wireless environments. Our approach decouples error recovery from contention estimation and focuses on how these two mechanisms can (i) feed the decision process and (ii) implement the protocol strategy by shaping traffic, according...

ackground: When individual judgment conflicts with a group, the individual will often conform his judgment to that of the group. onformity might arise at an executive level of decision making, or it might arise because the social setting alters the individual’s erception of the world. ethods: We used functional magnetic resonance imaging and a task of mental rotation in the context of peer pres...

If whatever counts as merit for some purpose is unevenly distributed, a decision procedure that accurately sorts people on basis will “pick up” and reproduce the pre-existing pattern in ways more random, less merit-tracking procedures would not. This dynamic an important cause concern about use of predictive models to allocate goods opportunities. In this article, I distinguish two different ob...