• Ashish Sen
  • Muni Srivastava
Part of the Springer Texts in Statistics book series (STS)


Until now we have considered situations where the algebraic form of the model, i.e.,
$${\beta _0} + {\beta _1}{x_{i1}} + \ldots + {\beta _k}{x_{ik}},$$

was approximately correct. Obviously, this will not always be so. The actual relationship may not be a linear function of the \({x_{ij}}\)’s and sometimes not even of the β j ’s. In some such cases we may still be able to do linear regression by transforming (i.e., using functions of) the independent and/or the dependent variables.


Travel Time Residual Plot Multiplicative Model Multiplicative Error Rent Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag New York Inc. 1990

Authors and Affiliations

  • Ashish Sen
    • 1
  • Muni Srivastava
    • 2
  1. 1.College of Architecture, Art, and Urban Planning School of Urban Planning and PolicyThe University of IllinoisChicagoUSA
  2. 2.Department of StatisticsUniversity of TorontoTorontoCanada

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