Forecasting with full use of data without interpolation on logistic curve model with missing data
- 1 January 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Japan Journal of Industrial and Applied Mathematics
- Vol. 38 (2), 473-488
- https://doi.org/10.1007/s13160-020-00452-w
Abstract
No abstract availableKeywords
This publication has 23 references indexed in Scilit:
- Comparison of Non-linear Growth Models to Describe the Growth in Japanese QuailJournal of Animal and Veterinary Advances, 2010
- Discrete software reliability assessment with discretized NHPP modelsComputers & Mathematics with Applications, 2006
- A review of selected recent advances in technological forecastingTechnological Forecasting and Social Change, 2003
- Parameter estimation of discrete logistic curve models for software reliability assessmentJapan Journal of Industrial and Applied Mathematics, 2002
- Analysis of growth curves of fowl. I. ChickensBritish Poultry Science, 1991
- The use of growth curves in forecasting market development—a review and appraisalJournal of Forecasting, 1984
- Central difference scheme and chaosPhysica D: Nonlinear Phenomena, 1982
- Tractors in Spain: A Logistic AnalysisJournal of the Operational Research Society, 1980
- The fitting of the logistic equation to the rate of increase of population densityPopulation Ecology, 1965
- Random Dispersal in Theoretical PopulationsBiometrika, 1951