Search results
Results from the Health.Zone Content Network
Net reclassification improvement. Net reclassification improvement (NRI) is an index that attempts to quantify how well a new model reclassifies subjects - either appropriately or inappropriately - as compared to an old model. [1] While c-statistics or AUC has been the standard metric for quantifying improvements over the last few decades ...
SAE J1269 and SAE J2452 performed on new tires. SAE J2452 is a standard defined by the Society of Automotive Engineers [1] to measure the rolling resistance of tires. [2] Where the older standard, SAE J1269, produces measurements of rolling resistance under steady-state (i.e. thermally equilibrated) operating conditions, SAE J2452 produces measurements during a transient history of speed that ...
Smoothing of a noisy sine (blue curve) with a moving average (red curve). In statistics, a moving average (rolling average or running average or moving mean[1] or rolling mean) is a calculation to analyze data points by creating a series of averages of different selections of the full data set. Variations include: simple, cumulative, or ...
You may use rolling returns as part of an index investing strategy. Index investing focuses on matching the performance of a stock market benchmark, such as the S&P 500 or the Nasdaq Composite.
BMI range 18.5 to 24.9 25 to 29.9 30 to 34.9 35 to 39.9 40 or greater; Height (inches) 58: 91 to 115 lbs: 119 to 138 lbs: 143 to 162 lbs: 167 to 186 lbs: ≥ 191 lbs
Body mass index (BMI) is an estimate of body fat based on height and weight. It doesn’t measure body fat directly, but instead uses an equation to make an approximation. BMI can help determine ...
New research says, yes. Scientists are turning to a novel way to calculate obesity using a system known as the Body Roundness Index, which is touted as a more accurate measurement than Body Mass ...
Kernel regression. In statistics, kernel regression is a non-parametric technique to estimate the conditional expectation of a random variable. The objective is to find a non-linear relation between a pair of random variables X and Y. In any nonparametric regression, the conditional expectation of a variable relative to a variable may be written: