6 replies
lalitkumar
about 13 years ago

Sometimes we have to extend data to cover places in which no data were measured. For example, we try to predict what the demand for electric power will be in ten years in order to plan for new power plants, and all we have available is information about how demand has grown in the past ten years. We have to extrapolate our information into the future.
lalitchohan
about 13 years ago

Extrapolation is prediction outside the range of our data; interpolation is prediction within the range. Both can be done badly for two common reasons. First, the model is wrong. Models are important to interpreting what we observe, both in science and in ordinary life. Data rarely speaks by itself, leaving it to a model to unify and explain the data.
lalan
about 13 years ago

"It is obtained by extrapolating the lower portion to the end of the transmission curve to zero. (Often appear in literature).
Source: http://in.docsity.com/en-docs/Interaction_of_Heavy_Charged_Particles-Radiation_Iteraction-Lecture_Slides_"
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