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This paper examines social learning when only one of the two types of decisions is observable.
Our analysis focuses on the effects of the alternative rules on two types of decisions: buyers' decisions about communicating their valuations of performance to sellers; and sellers' decisions about their level of precautions to reduce the likelihood of nonperformance.
It would be a strange coincidence if the criteria of evidence in these two types of decisions were always the same.
The considered problem deals with two types of decisions, the primary decisions are where to optimally locate cross docks and how to allocate customers to cross docks, and the secondary decision is determining the optimal truck number which needs to be allocated to each cross dock.
Basically two types of decisions have to be made.
In this paper we focus on two types of decisions: pharmaceutical coverage decisions (i.e. uptake of removal of a pharmaceutical in the benefit package) and clinical practice guideline (CPG) development.
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All the combinations and their prerequisites are summarized, in which we obtain two types of decision rules.
The chapter presents two types of decision support problems the selection decision support problem (sDSP) and the compromise decision support problem (cDSP).
There are two types of decision variables: binary variables for selection of companies to form the supply chain and continuous variables associated with production planning.
Two types of decision trees were built: a high-input tree (HI) that included soil inorganic nitrogen (SIN) as a predictor variable, and a low-input tree (LI) that excluded SIN.
Constraints (6) determine the relationship between two types of decision variables.
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CEO of Professional Science Editing for Scientists @ prosciediting.com