Modeling and Forecasting Diffusion

The following sections are included:IntroductionThe Diffusion of a Single Innovation in a Single MarketThe use of explanatory variables in the diffusion modelEstimation issues in single diffusion modelsEstimation of the Bass modelUse of diffusion models with little or no dataModeling constrained diffusionModeling diffusion and replacementModeling the diffusion of multiple subcategoriesModel selection and forecastingStudies of comparative forecasting accuracyUse of prediction intervalsApplicationsModeling of Diffusion Across Several CountriesEstimation and model choice in multinational diffusion modelsApplicationsModeling of Diffusion Across Several Generations of TechnologyUse of explanatory variables in multi-generation modelsMulti-technology modelsConclusions and Likely Further ResearchReferencesAppendix: An Annotated List of S-Shaped Diffusion ModelsModels for Cumulative AdoptionBass modelCumulative log-normal modelCumulative normal modelGompertz modelLog-reciprocal modelLogistic modelModified exponential modelWeibull modelLinearized Trend and Nonlinear Autoregressive ModelsHarvey modelFloyd modelSharif–Kabir modelKKKI modelSBB model