A least squares estimation method for the linear learning model
January 1978
Article
volume 15 pp 145-153.
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The author presents a new method for estimating the parameters of the linear learning model. The procedure, essentially a least squares method, is easy to carry out and avoids certain difficulties of earlier estimation procedures. Applications to three different data sets are reported, as well as results from a goodness-of-fit test. A simulation study was carried out to validate the method. The outcomes are compared with those obtained from the minimum chi square estimation method. The results of the new method appear to be satisfactory.
Keywords
- brand choice
- regression analysis
- marketing research
- mathematical models
- consumer preferences
- linear models (statistics)
- simulation methods
- least squares
- statistical hypothesis testing
- CHI-square test
- goodness-of-fit tests
- estimating theory
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