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Bass's Basement
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estimation
| Definition: |
http://en.wikipedia.org/ |
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| Count: |
20 |
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| Publications: |
Karmeshu, Praveen Sharma. 2007. Truncating the hierarchy of moment equations based on point distribution—application to innovation diffusion. Mathematical and Computer Modelling 45.3-4 233-240. |
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Jiang, Zhengrui, Frank M. Bass, Portia Isaacson Bass. 2006. The virtual Bass model and the left-hand truncation bias in diffusion of innovation studies. International Journal of Research in Marketing 23 (1) 93-106. |
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Boswijk, H. Peter, Philip Hans Franses. 2005. On the econometrics of the Bass diffusion model. Journal of Business and Economic Statistics 23 (3) 255–268. |
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Venkatesan, Rajkumar, Trichy V. Krishnan, V. Kumar. 2004. Evolutionary estimation of macro-level diffusion models using genetic algorithms: an alternative to nonlinear least squares. Marketing Science 23 (3) 451–464. |
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Venkatesan, Rajkumar, V. Kumar. 2002. A genetic algorithms approach to growth phase forecasting of wireless subscribers. International Journal of Forecasting 18(4) 625–646. |
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Putsis, Jr., William P., V. Seenu Srinivasan. 2000. Estimation techniques for macro diffusion models. ” In New-Product Diffusion Models, ed. Mahajan, V., Eitan Muller, Yoram Wind,Boston: Kluwer Academic. |
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Van den Bulte, Christophe, Gary L. Lilien. 1997. Bias and systematic change in the parameter estimates of macro-level diffusion models. Marketing Science 16 (4) 338–353. |
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Xie, Jinhong, Michael Song, Marvin Sirbu, Qiong Wang. 1997. Kalman filter estimation of new product diffusion models. Journal of Marketing Research 34 378–393. |
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Putsis, Jr., William P. 1996. Temporal aggregation in diffusion models of first-time purchase: does choice of frequency matter? Technological Forecasting and Social Change 51 265–279. |
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Meade, Nigel, Towhidul Islam. 1995. Prediction intervals for growth curve forecasts. Journal of Forecasting 14 413–430. |
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Dalal, S. R., Samaradasa Weerahandi. 1995. Estimation of innovation diffusion models with application to a consumer durable. Marketing Letters 6, 2 123-136. |
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Meade, Nigel. 1988. Forecasting with growth curves: the effect of error structure. Journal of Forecasting 7 235-244. |
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Mahajan, Vijay, Charlotte H. Mason, V. Seenu Srinivasan. 1986. An evaluation of estimation procedures for new product diffusion models. In Innovation Diffusion Models of New Product Acceptance, Vijay Mahajan and Yoram Wind, eds. Cambridge, MA: Ballinger Publishing Company. |
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Mahajan, Vijay, Subhash Sharma. 1986. Simple algebraic estimation procedure for innovation diffusion models of new product acceptance. Technological Forecasting and Social Change 30 (December) 331-346. |
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Srinivasan, V. Seenu, Charlotte H. Mason. 1986. Nonlinear least squares estimation of new product diffusion models. Marketing Science 5 (2) 169–178. |
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Rust, Roland T., David C. Schmittlein. 1985. A Bayesian cross-validated likelihood method for comparing alternative specifications of quantitative models. Marketing Science 4 (Winter) 20-40. |
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Schmittlein, David C., Vijay Mahajan. 1982. Maximum likelihood estimation for an innovation diffusion model of new product acceptance. Marketing Science 1 (1) 57–78. |
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Pesaran, M. H., Angus S. Deaton. 1978. Testing non-nested nonlinear regression models. Econometrica 46.3 (1978) 677-694. |
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Sant, Donald T. 1977. Generalized least squares applied to time varying parameter models. Annals of Economic and Social Measurement 3 301-310. |
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Sarris, Alexander H. 1973. A Bayesian approach to estimation of time-varying regression coefficients. Annals of Economic and Social Measurement 2 501-523. |
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