its used between given data
Advantages over what? For what? Generally linear interpolation is done because one infers that the relationship between points is linear and/or it is the the easiest kind of interpolation. In the absence of data or theory to help you infer the relationship between points the principle of parsimony suggest that use the simplest that gets the job done - linear.
The interpolation factor is simply the ratio of the output rate to the input
The noun interpolation (determine by comparison) has a normal plural, interpolations.
A similar song to 'Bucky Done Gun' by M.I.A. is 'Gonna Fly Now.' The former song contains an interpolation of the latter.
Both, interpolation and extrapolation are used to predict, or estimate, the value of one variable when the value (or values) of other variable (or variables) is known. This is done by extending evaluating the underlying function. For interpolation, the point in question is within the domain of the observed values (there are observations for greater and for smaller values of the variables) wheres for extrapolation the point in question is outside the domain.
To determine if an estimate made using interpolation is reasonable, first check if the estimated value falls within the range of known data points. Additionally, assess the behavior of the data to ensure that it exhibits a consistent trend or pattern between the points being used for interpolation. Comparing the estimate with values from similar datasets or using a different interpolation method can also provide validation. Lastly, consider the context of the data and whether external factors might influence the validity of the interpolation.
interpolation theorem, discovered by Józef Marcinkiewicz
Interpolation tries to predict where something should be based on previous data, movements or a theory.
An ogive is a cumulative relative frequency diagram. Interpolation is definiting the midpoint (50%) of this line
interpolation, because we are predicting from data in the range used to create the least-squares line.
spatial interpolation is used in cartography to obtain a 'best guess' value for missing vaues on a map
Scholars associate the interpolation of tropes with the beginning of polyphonic music.