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Additive Error

Additive Error

Statistical Glossary

Additive Error:

Additive error is the error that is added to the true value and does not depend on the true value itself. In other words, the result of the measurement is considered as a sum of the true value and the additive error:

Additive error

where

  • Math image is the result of a measurement of some quantity, say, weight;
  • Math image is the true value of the quantity;
  • Math image is the additive error, which is of the same physical dimension as the quantity Math image being measured;

The model of additive errors is the most popular error model in statistics. In this model the additive error is assumed to be independent of the true value Math image .

A related concept is multiplicative error .

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Regression Analysis
This course will teach you how multiple linear regression models are derived, the use software to implement them, what assumptions underlie the models, how to test whether your data meet those assumptions and what can be done when those assumptions are not met, and develop strategies for building and understanding useful models.
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