A Stochastic Response Model With Application to Brand Choice
A Stochastic Response Model With Application to Brand Choice
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In our eReader you can find the full English version of the book. Read A Stochastic Response Model With Application to Brand Choice Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book A Stochastic Response Model With Application to Brand Choice
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To quickly assess the difficulty of the text, read a short excerpt:
Recall that by our axioms the observed responses will be cross- sectionally and temporally independent under the model hypothesis. Under this hypothesis tables for and t (t = 1, ... , T) will be independent and by the additivity property of independent chi squares we may achieve a sufficient number of degrees of freedom to test the model by summing the chi squares and degrees of freedom for several such tables. If we have a sequence of T + 1 Page 30.
responses from M independent respondents, we... may form the statistic T (6-10) x^ = 2 X^CO. T), t=l where x^(0>t) is given by (6-9). When we estimate the parameters P(0, 0), a, and k by minimizing the statistic (6-10), x^ will be approximately chi square with 2T - 3 degrees of freedom. As noted above the estimates of P(0, 0), a, and k will have desirable statistical properties and we may test the "goodness of fit" of the CEM to the data by comparing (6-10) to a chi square statistic having 2T - 3 degrees of freedom.
It remains to justify our use of Q(0) as an estimate of the parameter 34 P(0).
What to read after A Stochastic Response Model With Application to Brand Choice?
You can find similar books in the "Read Also" column, or choose other free books by David Bruce Montgomery to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
Recall that by our axioms the observed responses will be cross- sectionally and temporally independent under the model hypothesis. Under this hypothesis tables for and t (t = 1, ... , T) will be independent and by the additivity property of independent chi squares we may achieve a sufficient number of degrees of freedom to test the model by summing the chi squares and degrees of freedom for several such tables. If we have a sequence of T + 1 Page 30.
responses from M independent respondents, we... may form the statistic T (6-10) x^ = 2 X^CO. T), t=l where x^(0>t) is given by (6-9). When we estimate the parameters P(0, 0), a, and k by minimizing the statistic (6-10), x^ will be approximately chi square with 2T - 3 degrees of freedom. As noted above the estimates of P(0, 0), a, and k will have desirable statistical properties and we may test the "goodness of fit" of the CEM to the data by comparing (6-10) to a chi square statistic having 2T - 3 degrees of freedom.
It remains to justify our use of Q(0) as an estimate of the parameter 34 P(0).
What to read after A Stochastic Response Model With Application to Brand Choice?
You can find similar books in the "Read Also" column, or choose other free books by David Bruce Montgomery to read onlineMoreLess
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