Abstract
Regression analysis is an important statistical application employed in many disci-plines. Before the introduction of change point hypothesis into the regression study, a statistician faced some problems of being unable to establish a regression model for some observed data sets. 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 the data poorly explained by a regression model. Ever since the change point hypothesis has been 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 data sets after the change point has been located in the regression models.
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© 2000 Springer Science+Business Media New York
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Chen, J., Gupta, A.K. (2000). Regression Models. In: Parametric Statistical Change Point Analysis. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4757-3131-6_4
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DOI: https://doi.org/10.1007/978-1-4757-3131-6_4
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4757-3133-0
Online ISBN: 978-1-4757-3131-6
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