A comparison of cause specific standarised mortality ratios (SMRs) and proportionate mortality ratios (PMRs) or proportionate cancer mortality ratios (PCMRs) was made based on the mortality experience of a cohort of 34 156 members of a heavy equipment operators union. Two types of PMRs or PCMRs were used in the comparison: those based on all deaths and those based on deaths known to the union o...

In the context of real estate, land is defined as a property or real estate, not including buildings or equipment that does not occur naturally. Depending on the title, land ownership may also give the holder the rights to all natural resources on the land. These may include water, plants, human and animal life, fossils, soil, minerals, electromagnetic features, geographical location, and geoph...

This paper introduces two complementary models of firm-specific training: an informational model and a productivity-enhancement model. In both models, market provision of firm-specific training is inefficient. However, the nature of the inefficiency depends on the balance between the two key components of training, namely productivity enhancement and employee evaluation. In the informational mo...

BACKGROUND Ethnic minorities have been omitted from many occupational health studies, despite their substantial contributions to the labor force and documented cases of high exposures in some settings. To describe the occurrence of potentially work-related cancers among African American and Latino Workers, we conducted an epidemiologic study based on death certificate data. METHODS Data were ...

Sensitivity analysis in data envelopment analysis (DEA) is studied for the case of the proportionate change of a subset of outputs or/and of a subset of inputs of an efficient decision making unit (DMU) according to the Charnes–Cooper–Rhodes (CCR) ratio model. Sufficient conditions for an efficient DMU to preserve its efficiency under the proportionate change of a subset of inputs or/and of out...

Sparse system identification has received a great deal of attention due to its broad applicability. The proportionate normalized least mean square (PNLMS) algorithm, as a popular tool, achieves excellent performance for sparse system identification. In previous studies, most of the cost functions used in proportionate-type sparse adaptive algorithms are based on the mean square error (MSE) crit...