Skip to main content

Disturbance Terms

Edited by: Published: 2010
+- LessMore information
Download PDF

In the field of research design, researchers often want to know whether there is a relationship between an observed variable (say, y) and another observed variable (say, x). To answer the question, researchers may construct the model in which y depends on x. Although y is not necessarily explained only by x, a discrepancy always exists between the observed value of y and the predicted value of y obtained from the model. The discrepancy is taken as a disturbance term or an error term.

Suppose that n sets of data, (x1, y1), (x2, y2), …, (xn, yn), are observed, where yi is a scalar and xi is a vector (say, 1 × k vector). We assume that there is a relationship between x and y, which ...

Looks like you do not have access to this content.

Reader's Guide

  • All
  • A
  • B
  • C
  • D
  • E
  • F
  • G
  • H
  • I
  • J
  • K
  • L
  • M
  • N
  • O
  • P
  • Q
  • R
  • S
  • T
  • U
  • V
  • W
  • X
  • Y
  • Z

      Copy and paste the following HTML into your website