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@article{ISU_2022_22_2_a1, author = {A. Yu. Parphenova and L. A. Saraev}, title = {Stochastic model of innovation diffusion that takes into account the~changes in the total market volume}, journal = {Izvestiya of Saratov University. Mathematics. Mechanics. Informatics}, pages = {152--158}, publisher = {mathdoc}, volume = {22}, number = {2}, year = {2022}, language = {en}, url = {http://geodesic.mathdoc.fr/item/ISU_2022_22_2_a1/} }
TY - JOUR AU - A. Yu. Parphenova AU - L. A. Saraev TI - Stochastic model of innovation diffusion that takes into account the~changes in the total market volume JO - Izvestiya of Saratov University. Mathematics. Mechanics. Informatics PY - 2022 SP - 152 EP - 158 VL - 22 IS - 2 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/ISU_2022_22_2_a1/ LA - en ID - ISU_2022_22_2_a1 ER -
%0 Journal Article %A A. Yu. Parphenova %A L. A. Saraev %T Stochastic model of innovation diffusion that takes into account the~changes in the total market volume %J Izvestiya of Saratov University. Mathematics. Mechanics. Informatics %D 2022 %P 152-158 %V 22 %N 2 %I mathdoc %U http://geodesic.mathdoc.fr/item/ISU_2022_22_2_a1/ %G en %F ISU_2022_22_2_a1
A. Yu. Parphenova; L. A. Saraev. Stochastic model of innovation diffusion that takes into account the~changes in the total market volume. Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, Tome 22 (2022) no. 2, pp. 152-158. http://geodesic.mathdoc.fr/item/ISU_2022_22_2_a1/
[1] Bass F. M., “A new product growth model for consumer durables”, Management Science, 15:5 (1969), 215–227 | DOI
[2] Bass F. M., “The future of research in marketing: Marketing science”, Journal of Marketing Research, 30 (1993), 1–6 | DOI
[3] Bass F. M., “Empirical generalizations and marketing science: A personal view”, Marketing Science, 14 (1995), 6–19 | DOI
[4] Rogers E. M., Diffusion of Innovations, 5th ed., Free Press, New York, 2003, 576 pp.
[5] Srinivasan V., Mason C. H., “Nonlinear least squares estimation of new product diffusion model”, Marketing Science, 5:2 (1986), 169–178
[6] Schmittlein D. C., Mahajan V., “Maximum likelihood estimation for an innovational diffusion model of new-product acceptance”, Management Science, 1:1 (1982), 57–78 | DOI
[7] Mahajan V., Sharma S., “A simple algebraic estimation procedure for innovation diffusion models of new product acceptance”, Technological Forecasting and Social Change, 30:4 (1986), 331–345 | DOI
[8] Mahajan V., Mason C. H., Srinivasan V., “An evaluation of estimation procedures for new product diffusion models”, Innovation Diffusion Models of New Product Acceptance, eds. V. Mahajan, Y. Wind, Ballinger Publishing Company, Cambridge, 1986, 203–232
[9] Itô K., McKean H. P., Diffusion Processes and their Sample Paths, Springer, Berlin–Heidelberg, 1996, 323 pp. ; Russ. ed.: Mir, M., 1986, 329 pp. | DOI
[10] Allen E., Modeling with Itô Stochastic Differential Equations, Mathematical Modelling: Theory and Applications, 22, Springer, 2007, 230 pp. | DOI
[11] Kanellos N., Katsianis D., Varoutas D., “On the Introduction of Diffusion Uncertainty in Telecommunications' Market Forecasting”, Engineering Proceedings, 5:1 (2021), 13 | DOI
[12] Wang H., Sun B., “Diffusion Mechanism of Leading Technology in the New Energy Industry Based on the Bass Model”, Frontiers in Energy Research, 9 (2021) | DOI
[13] Grasman J., Kornelis M., “Forecasting product sales with a stochastic Bass model”, Journal of Mathematics in Industry, 9 (2019), 2 | DOI
[14] Ilyina E. A., Parphenova A. Yu., Saraev L. A., “Influence of changes to the total volume of the market on the kinetics of the process of diffusion of innovations”, Bulletin of the Altai Academy of Economics and Law, 2019, no. 12, 61–67 (in Russian) | DOI
[15] Saraev A. L., Saraev L. A., “Stochastic calculation of curves dynamics of enterprise”, Journal of Samara State Technical University, Ser. Physical and Mathematical Sciences, 24:2 (2020), 343–364 (in Russian) | DOI