This paper considers allocation rules. First, we demonstrate that costs allocated by the Aumann-Shapley and the Friedman-Moulin cost allocation rules are easy to determine in practice using convex envelopment of registered cost data and parametric programming. Second, from the linear programming problems involved it becomes clear that the allocation rules, technically speaking, allocate the non...

Abstract. BCC-CSM2-HR is a high-resolution version of the Beijing Climate Center (BCC) System Model (T266 in atmosphere and 1/4? latitude × longitude ocean). Its development on basis medium-resolution BCC-CSM2-MR (T106 1? ocean) which baseline for BCC participation Coupled Intercomparison Project Phase 6 (CMIP6). This study documents model, highlights major improvements representation atmospher...

A nosocomial polyclonal outbreak associated to bacteremia caused by different Burkholderia cepacia complex (BCC) species and clones is reported. Molecular characterization identified Burkholderia stabilis, Burkholderia contaminans, and Burkholderia ambifaria among BCC isolates obtained from patients in neonatal and adult intensive care units. BCC was also isolated from an intrinsically contamin...

Keywords: Data envelopment analysis Target unit Undesirable output Multiple objective linear programming Minimax method a b s t r a c t Data Envelopment Analysis (DEA) is a mathematical programming technique for identifying efficient Decision Making Units (DMUs) with multiple inputs and multiple outputs. DEA provides a technical efficiency score for each DMU, a technical efficiency reference se...

Giant basal cell carcinoma (BCC), defined as a lesion greater than 5 cm at its largest diameter, is a rare variant of BCC. In contrast to small BCC, giant BCC develops on skin that is not exposed to sunlight, including the back, shoulder, groin and thigh. Most of the histopathologic subtypes of giant BCC are micronodular, morpheaform and nodular, but the superficial subtype is rare. Giant super...

Suppose we have a class of similar service organizations each of which is characterized by the same numerically measurable input/output characteristics. Even if the amount of any input does not differ in them, one or more organizations can be expected to outperform the others in one or more production aspects. Our interest lies in comparing the output efficiency levels of all service organizati...

Data envelopment analysis (DEA) is a technique based on linear programming (LP) to measure the relative efficiency of homogeneous units by considering inputs and outputs. The lack of discrimination among efficient decision making units (DMUs) and unrealistic input-outputs weights have been known as the drawback of DEA. In this paper the new scheme based on a goal programming data envelopment an...