Easy, reliable method for mid-term demand forecasting based on the Bass model: a hybrid approach of NLS and OLS

DOI10.1016/J.EJOR.2015.07.034zbMath1346.62160OpenAlexW1414008027MaRDI QIDQ320752

Jungsik Hong, Hoonyoung Koo, Taegu Kim

Publication date: 7 October 2016

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2015.07.034

zbMATH Keywords

genetic algorithmforecastingnew product diffusionnonlinear least squareordinary least square

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Consumer behavior, demand theory (91B42)

Uses Software

• Excel
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Cites Work

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• Competitive diffusion process of repurchased products in knowledgeable manufacturing
• Diffusion dynamics in small-world networks with heterogeneous consumers
• Application of machine learning techniques for supply chain demand forecasting
• Technological Forecasting—Model Selection, Model Stability, and Combining Models
• A New Product Growth for Model Consumer Durables
• Dynamic Price Models for New-Product Planning
• A New Product Adoption Model with Price, Advertising, and Uncertainty
• A DISCRETE BASS MODEL AND ITS PARAMETER ESTIMATION

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