Dynamic Forecasts of New Product Demand Using a Depth of Repeat Model
Open Access
- 1 May 1973
- journal article
- research article
- Published by SAGE Publications in Journal of Marketing Research
- Vol. 10 (2) , 115-129
- https://doi.org/10.1177/002224377301000201
Abstract
A depth of repeat model is presented that can forecast the demand for new consumer products. The relation of the model to other forecasting models is noted. Data analysis, estimation procedures, and the observed accuracy of forecasts are discussed.Keywords
This publication has 11 references indexed in Scilit:
- Testing for Serial Correlation in Least-Squares Regression When Some of the Regressors are Lagged Dependent VariablesEconometrica, 1970
- New Product Forecasting Using Consumer PanelsJournal of Marketing Research, 1970
- Forecasting the Demand for New Convenience ProductsJournal of Marketing Research, 1969
- NBD Model of Repeat-Purchase Loyalty: An Empirical InvestigationJournal of Marketing Research, 1969
- A Comparison of American and British Repeat-Buying HabitsJournal of Marketing Research, 1968
- Conditional Trend Analysis: A Breakdown by Initial Purchasing LevelJournal of Marketing Research, 1967
- Progress on a Simplified Model of Stationary Purchasing BehaviourJournal of the Royal Statistical Society. Series A (General), 1966
- Early Prediction of Market Success for New Grocery ProductsJournal of Marketing, 1960
- Exact Tests of Serial Correlation using Noncircular StatisticsThe Annals of Mathematical Statistics, 1951
- A Sampling Study of the Merits of Auto-Regressive and Reduced form Transformations in Regression AnalysisJournal of the American Statistical Association, 1949