Development of a generic yield curve

Australian Forestry

Volumn 61, Issue 2, 1998, Pages 127-136

  Chikurabo, O ^a,b   Kotze, H ^c   Hamilton, F ^d  

^a BUREAU OF RURAL SCIENCES   (Australia)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^c Forestek   (South Africa)

^d DEPARTMENT OF PRIMARY INDUSTRIES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0039893173     PISSN: 00049158     EISSN: None     Source Type: Journal    
DOI: 10.1080/00049158.1998.10674729     Document Type: Article

References (19)

1. Box, G. E. P. and Jenkins, G. M. (1970). Time Series Analysis, Forecasting and Control. Holden-Day, San Francisco.
2. Chikumbo, O. (1991). Characterising Diameter Distribution of Monterey Pine and Growth Prediction Based on Dynamical Models. Honours thesis. Australian National University. 149 pp.
3. Chikumbo, O., James R.N., Mareels, I.M.Y. and Turner B.J. (1993). Mortality simulations in Pinus radiata plantations in the Tarawera valley regimes trial. In: Modelling and Simulation of Environmental Changes. (A. Jakeman and M. McAleer, editors) University of Western Australia, pp 869-874.
4. Chikumbo, O., James R.N., Mareels, I.M.Y. and Turner B.J. (1996). Mortality simulations in Pinus radiata plantations in the Tarawera valley regimes trial. Ecological Modelling 86: 253-258.
5. Chikumbo, O. and Mareels I.M. Y. (1993). A simulation model for diameter growth in Pinus radiata plantations. In: Modelling and Simulation of Environmental Changes. (A. Jakeman and M. McAleer, editors). University of Western Australia, pp 851-856.
6. Chikumbo, O. and Mareels, I. M. Y. (1995a). Dynamical models for ecological/ environmental modelling and planning. In: International Congress on Modelling and Simulation Proceedings. (Binning, P., Bridgman, H., and Williams, B, editors). The University of Newcastle, Newcastle, NSW. pp 103-106.
7. Chikumbo, O. and Mareels, I. M. Y. (1995b). Optimal thinning strategies based on dynamical models and the maximum principle. In: Application of New Technologies in Forestry. (Bren, L. and Greenwood, C„ editors). Ballarat, Victoria. Institute of Foresters of Australia 1: 239-245.
8. Chikumbo, O., Mareels, I. M. Y. and Turner, B. J. (1992). Integrating the Weibull into a dynamical model to predict future diameter distributions. In: Integrating Forest Information over space and Time. (Wood, G. B. and Turner, B. J., editors). Australian National University. ANUTECH Pty Ltd. pp 94-102.
9. Government of Victoria (1986). Victorian Timber Industry Strategy. Melbourne. Victorian Government Printing Office.
10. Incoll, W. D. (1983). STANDSIM user manual. Department of Natural Resources and Environment, Research Branch Report 234. Melbourne.
11. Johnson, R. C. (1988). Lectures on Adaptive Parameter Estimation. Englewood Cliffs, New Jersey, Prentice Hall.
12. Leigh, T. R. (1992). Control Theory, a guided tour. London, United Kindom, Peter Peregrinus Ltd.
13. Ljung, L. (1987). System Identification: Theory for the User. Englewood Cliffs, New Jersey, Prentice-Hall, Inc.
14. Ljung, L. (1991). System Identification Toolbox for use with MATLAB- User’s Guide. Natick, Mass., The Math Works, Inc.
15. Ljung, L. and Söderström, T. (1983). Theory and Practice of Recursive Identification. Cambridge, Mass., MIT Press.
16. Murray, D. M. and Gadow, K. von (1993). A flexible yield model for regional timber forecasting. Southern Journal of Applied Forestry 17(3): 112-115.
17. Vandaele, W. (1975). Applied Time Series and Box-Jenkins Models. New York, N.Y., Academic Press, Inc.
18. Government of Victoria, (1986). Victorian Timber Industry Strategy. Melbourne. Victorian Government Printing Office.
19. West, P. W. (1995). Application of regression analysis to inventory data with measurements on successive occasions. Forest Ecology and Management 71: 227-234.