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Regression Models

  • Jie Chen
  • Arjun K. Gupta
Chapter

Abstract

Regression analysis is an important statistical application employed in many disciplines. Before the introduction of a change point hypothesis into the regression study, the statistician faced problems of being unable to establish a regression model for some observed datasets. If the data structure has changed after a certain point of time, then using one regression model to study the data obviously leaves the data unfitted or leaves them poorly explained by a regression model. Ever since the change point hypothesis was introduced into statistical analyses, the study of switching regression models has taken place in regression analysis. This made some previously poorly fitted regression models better fitted to some datasets after the change point was been located in the regression models.

Keywords

Regression Model Change Point Linear Regression Model Multiple Linear Regression Model Posterior Density 
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 Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Department of Mathematics and StatisticsUniversity of Missouri-Kansas CityKansas CityUSA
  2. 2.Department of Mathematics and StatisticsBowling Green State UniversityBowling GreenUSA

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