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What else can I help you with?
Differences between preindexing and postindexing?
what are the different betwin postindexing and preindexing?
What are the differences between dft and idft?
idft is inverse of dft
What is the differences between Ontario and Alberta?
Ontario is two hours ahead of Alberta.
What is it to use given data to estimate a value beyond the known values?
It means to decide what the next thing would be based on the things you already know. For example, if you had a linear equation (a graph where the line is completely straight) and you knew three points, you would be able to use the three points (the known values) to figure out what the fourth or fifth points (the value you are estimating) would be based on the space between each point (the given data).It is called extrapolation (or forecasting) and is usually subject to quite large errors.
Differences between Alexandra and Stephanie in whirligig?
the major difference is one is black and the other is white
Difference between interpolation and extrapolation?
Interpolation is filling in the data points between the data that has already been collected. Extrapolation is filling in data points beyond the data that has already been collected, or extending the data.
Differentiate between extrapolation and interpolation?
Interpolation is a math method of estimating an answer for something when you know 2 data points, one greater and one less than the answer you are looking for. Extrapolation estimates an answer for a data point when you know data either greater than or less than the one you need, but not both.
What is the difference between interpolation and extrapolation?
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.
What are the differences between sample and interpolation methods in signal processing?
In signal processing, sampling involves taking discrete points from a continuous signal, while interpolation is the process of estimating values between those sampled points to reconstruct the original signal. Sampling reduces the amount of data, while interpolation helps fill in the gaps between sampled points to recreate a continuous signal.
How is interpolation being done?
its used between given data
Ways of predicting between given data?
Draw a line/curve of best fit and read off the value from the line. The alternative, which requires more effort but is usually more accurate, is interpolation.
The process of estimating values between measured data points is called?
Interpolation.
What is to use a given data to estimate a value between known values?
interpolation
What is estamating a value between two known values in a data called?
Interpolation
What is the process of reading points on a graph that falls between measured points?
interpolation
What are the advantages of linear interpolation?
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.
What is the difference between an accurate and a precise measurement?
The article at the link below should help you get a handle on the subtle differences between accuracy and precision.
