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In efficient quantile regression, an EL-based categorization [9] procedure helps determine the shape of the true discrete distribution at level p, and also provides a way of formulating a consistent estimator. In addition, EL can be used in place of parametric likelihood to form model selection criteria. [10]
Process Safety Management of Highly Hazardous Chemicals is a regulation promulgated by the U.S. Occupational Safety and Health Administration (OSHA). [1] It defines and regulates a process safety management (PSM) program for plants using, storing, manufacturing, handling or carrying out on-site movement of hazardous materials above defined amount thresholds.
Voluntary Protection Programs (VPP) is an Occupational Safety and Health Administration (OSHA) initiative that encourages private industry and federal agencies to prevent workplace injuries and illnesses through hazard prevention and control, worksite analysis, training; and cooperation between management and workers.
Process safety management (PSM) is a practice to manage business operations critical to process safety. It can be implemented using the established OSHA scheme [1] or others made available by the EPA, [2] AIChE's Center for Chemical Process Safety, [3] or the Energy Institute. [4] PSM schemes are organized in 'elements'.
Heckman's correction involves a normality assumption, provides a test for sample selection bias and formula for bias corrected model. Suppose that a researcher wants to estimate the determinants of wage offers, but has access to wage observations for only those who work.
The jackknife technique can be used to estimate (and correct) the bias of an estimator calculated over the entire sample. Suppose θ {\displaystyle \theta } is the target parameter of interest, which is assumed to be some functional of the distribution of x {\displaystyle x} .
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