Search results
Results from the WOW.Com Content Network
The "ceiling effect" is one type of scale attenuation effect; [1] the other scale attenuation effect is the "floor effect".The ceiling effect is observed when an independent variable no longer has an effect on a dependent variable, or the level above which variance in an independent variable is no longer measurable. [2]
In statistics, a floor effect (also known as a basement effect) arises when a data-gathering instrument has a lower limit to the data values it can reliably specify. [1] This lower limit is known as the "floor". [2] The "floor effect" is one type of scale attenuation effect; [3] the other scale attenuation effect is the "ceiling effect".
This metric is well suited to intermittent-demand series (a data set containing a large amount of zeros) because it never gives infinite or undefined values [1] except in the irrelevant case where all historical data are equal. [3] When comparing forecasting methods, the method with the lowest MASE is the preferred method.
Also known as min-max scaling or min-max normalization, rescaling is the simplest method and consists in rescaling the range of features to scale the range in [0, 1] or [−1, 1]. Selecting the target range depends on the nature of the data. The general formula for a min-max of [0, 1] is given as: [3]
NRI attempts to quantify how well a new model correctly reclassifies subjects. Typically this comparison is between an original model (e.g. hip fractures as a function age and sex) and a new model which is the original model plus one additional component (e.g. hip fractures as a function of age, sex, and a genetic or proteomic biomarker).
A floor plan is not a top view or bird's-eye view; it is a measured drawing to scale of the layout of a floor in a building. A top view or bird's-eye view does not show an orthogonally projected plane cut at the typical four foot height above the floor level. A floor plan may show any of the following elements: [3] interior walls and hallways ...
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...
The "thesis statement" comes from the concept of a thesis (θέσῐς, thésis) as it was articulated by Aristotle in Topica. Aristotle's definition of a thesis is "a conception which is contrary to accepted opinion." He also notes that this contrary view must come from an informed position; not every contrary view is a thesis. [3]