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  • 17 Oct 2018
  • Working Paper Summaries

Quantile Forecasts of Product Life Cycles Using Exponential Smoothing

Keywords: by Xiaojia Guo, Kenneth C. Lichtendahl Jr., and Yael Grushka-Cockayne
  • 23 Oct 2018
  • First Look

New Research and Ideas, October 23, 2018

Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=55162 Averaging Probability Forecasts: Back to the Future By: Winkler, Robert L., Yael Grushka-Cockayne, Kenneth View Details
Keywords: Dina Gerdeman
  • 16 Oct 2018
  • First Look

New Research and Ideas, October 16, 2018

methods, such as multiple-case inductive studies and traditional methods of causal inference. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=55043 Quantile Forecasts of Product Life Cycles Using Exponential... View Details
Keywords: Dina Gerdeman
  • 2018
  • Working Paper

Quantile Forecasts of Product Life Cycles Using Exponential Smoothing.

By: Xiaojia Guo, Kenneth C. Lichtendahl Jr. and Yael Grushka-Cockayne
We introduce an exponential smoothing model that a manager can use to forecast the demand of a new product or service. The model has five features that make it suitable for accurately forecasting product life cycles at scale. First, the trend in our model follows the... View Details
Keywords: New Product Development; Demand Forecasting; Product Adoption; Innovation Diffusion; Product Development; Demand and Consumers; Forecasting and Prediction; Adoption
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Guo, Xiaojia, Kenneth C. Lichtendahl Jr., and Yael Grushka-Cockayne. "Quantile Forecasts of Product Life Cycles Using Exponential Smoothing." Harvard Business School Working Paper, No. 19-038, October 2018. (Darden Business School Working Paper, No. 2805244, July 2016.)
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