The amount and kind of advertising change during a campaign and the composite Weibull distribution are useful for clarifying advertising effects at any given moment. A number of examples are shown from data obtained from a series of telephone surveys during two sales campaigns for chocolate.
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References
1.
BerrettoniJ. N. “Practical Applications of The Weibull Distribution,” Industrial Quality Control, 21 (August1964), 71–9.
2.
DavisD. J. “An Analysis of Some Failure Data,” Journal of the American Statistical Association, 47 (June1952), 113–50.
3.
DrenickR. F. “The Failure Law of Complex Equipment,” Journal of Industrial Applied Mathematics, 8 (December1960) 680–90.
4.
GumbelEmil J.Statistics of Extremes.New York: Columbia University Press, 1958.
5.
HorvathWilliam J. “A Statistical Model for The Duration of Wars and Strikes,” Behavioral Science, 13 (January1968), 18–29.
6.
IndowTarow. “Models for Responses of Customers With a Constant Rate,” Journal of Marketing Research, 7 (November1970), 498–502.
7.
KaoJohn H. K. “A Graphical Estimation of Mixed Weibull Parameters in Life-testing of Electron Tubes,” Technometrics, 1 (November1959), 389–407.
8.
MassyWilliam F. “Forecasting The Demand for New Convenience Products,” Journal of Marketing Research, 6 (November1969), 405–12.
