Sentence examples for benchmark adjustments from inspiring English sources
Said Rones, "Our annual benchmark adjustments … have been quite small (0.2% or less) in recent years.
Generally our sampling and modeling techniques work very well; our annual benchmark adjustments, which are designed in part to capture fuller information on births and deaths that isnt immediately available, have been quite small (0.2% or less) in recent years.
Historical payroll employment data have been revised to reflect the annual benchmark adjustment for March 2013, a reclassification of industries included in the survey, and updated seasonal adjustment factors.
– Victoria Shannon A Higher Grade Ars Technica | Samsung Galaxy Note 3's benchmarking "adjustments" inflate scores by up to 20 percent.
Taking Irish students as a benchmark, social adjustment was similar in Canadian/US students (P = 0.645) but was lower in those from Malaysia (P < 0.001), the Middle-East (P < 0.001) and other regions (P = 0.013).
A valid comparison of outcomes between hospitals or healthcare providers (benchmarking) requires adjustment for severity of the health condition of patients and the performed interventions, often referred to as case-mix differences.
Make sure to keep running the benchmark after each adjustment.
The methodology developed in this study illustrates plausible ways of processing the data that are structurally similar to expected ICESat-2 data and holds the potential to be a benchmark for further method adjustment once genuine ICESat-2 are available.
For the feedback a discussion was started on a proper benchmark and on risk adjustment.
Further, patient severity measures should be included in appropriate risk-adjustment of benchmark measures used for inter-institutional comparison of hospital performance and resource use to ensure that hospitals which care for very severely ill children ab initio, or on inter-hospital transfer, are not penalized for doing so, by policy-makers and insurance payers.
When populated with relevant data, the proposed model can readily determine whether a particular city is low carbon or not thereby obviating the need for benchmarking and score adjustment every time a new city is added to the study list.
