1976
DOI: 10.1007/978-3-642-51565-1_15
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Progress on a Simplified Model of Stationary Purchasing Behaviour

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Cited by 39 publications
(36 citation statements)
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“…From table 3, it can be observed that the calculated value of the test statistic is greater than the tabled value in all the above situation and hence one can conclude that of the additional parameters 2 θ and 3 θ are significant in case first data set and the additional parameter 2 θ is significant in case of second data set, at 5% level of significance.…”
Section: Generalized Likelihood Ratio Testmentioning
confidence: 78%
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“…From table 3, it can be observed that the calculated value of the test statistic is greater than the tabled value in all the above situation and hence one can conclude that of the additional parameters 2 θ and 3 θ are significant in case first data set and the additional parameter 2 θ is significant in case of second data set, at 5% level of significance.…”
Section: Generalized Likelihood Ratio Testmentioning
confidence: 78%
“…The test statistic S given in (5.2) follows chi-square distribution with m degrees of freedom (for details see Rao,24). For testing the significance of the additional parameters of the ALSD( k ) for 3 = k in case of the first data set we consider the following three tests: From table 4, it can be observed that the calculated value of the test statistic is greater than the tabled value in all the above situations and hence one can conclude that the additional parameters 2 θ and 3 θ are significant in case first data set and the additional parameter 2 θ is significant in case of the second data set, at 5% level of significance.…”
Section: Rao's Efficient Score Testmentioning
confidence: 99%
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“…Figure 3 shows the main idea of purchase incidence models: a consumer buys a product according to a stationary Poisson process which is independent of the other buying processes. Aggregation of these buying processes over the population under the (quite general) assumption that the parameters of the Poisson distributions (the long-run average purchase rates) follow a truncated -distribution results in a logarithmic series distribution (LSD) as Chatfield et al [Chatfield et al, 1966] have shown.…”
Section: Ehrenberg´s Repeat-buying Theory and Bundles Of Information mentioning
confidence: 99%
“…The negative binomial assumption has been used in empirical work for several decades. For example, Chatfield et al (1966) used a single negative binomial regression equation to model household purchases. And Rao et al (1973) model the number of boys and the number of girls born to a pair of parents as symmetric binomialsconditioned on a negative binomial for the total.…”
Section: Statistical Specificationmentioning
confidence: 99%