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Details van artikel 4 van 9 gevonden artikelen
| Titel: |
Evaluating random choice models using multivariate correlation analysis |
| Auteur: |
Gaver, Kenneth M. Rabinovitch, Ramon |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 12 (1983) nr. 16 pagina's 1901-1939 |
| Jaar: |
1983 |
| Inhoud: |
Researchers often use specific models to predict the vector of selection probabilities[image omitted] , for some population of decision makers. We assume that the i-th decision maker's vector of selection probabilities [image omitted] follows some prior cross-sectional distribution [image omitted] ,. (v being the parameter vector of F.) To assess the predictive power of random choice models we use two data sets: [image omitted] , the model-based estimates, and ri, the sample-based relative frequency vectors. We suggest the use of the correlation coefficient between [image omitted] . Estimates of the latter are given for an arbitrary F(π,v) and when F is the Dirichlet distribution. In the latter case we show that [image omitted] . We use a distribution free estimation method, the method of moments and the maximum likelihood estimation method to estimate [image omitted] . These estimation methods are tested and evaluated in a Monte Carlo study that simulates a six-brand product class. The third method is found superior to the other two. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 4 van 9 gevonden artikelen
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