Some advances in optimal designs in contingent valuation studies

Journal of Statistical Planning and Inference

Volumn 136, Issue 3, 2006, Pages 1153-1165

  Gunduz, Necla ^a   Torsney, Ben ^b  

^a GAZI UNIVERSITY   (Turkey)

^b UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

Binary regression design; c optimality; Contingent valuation dichotomous choice studies; D optimality

Indexed keywords

EID: 28044432112     PISSN: 03783758     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jspi.2004.08.004     Document Type: Article

References (20)

1. A. Alberini Optimal designs for discrete choice contingent valuation surveys: Single bound, double bound, and bivariate models J. Environ. Econom. Management 28 1995 287-306
2. G.E.P. Box H.L. Lucas Design of experiments in nonlinear situations Biometrika 46 1959 77-90
3. H. Chernoff Sequential analysis and optimal design Revised Edition 1979 SIAM Philadelphia
4. Donaldson, C., 1993. Theory and practice of willingness to pay for healt care. HERU Discussion Paper 01/93, Department Public Health, University of Aberdeen.
5. G. Elfving Optimum allocation in linear regression theory Ann. Math. Statist. 23 1952 255-262
6. I. Ford B. Torsney C. Wu The use of a canonical form in the construction of locally optimal designs for non-linear problems J.R. Statist. Soc. Ser. 54 2 1992 569-583
7. Gunduz, N., 1999. D-Optimal Designs for Weighted Linear Regression and Binary Regression Models. Ph. D. Thesis, Department of Statistics, University of Glasgow.
8. Gunduz, N., Torsney, B., 2000. D-optimal designs for binary and weighted linear regression models: One design variable. Technical Report 00-6, Department of Statistics, University of Glasgow.
9. Hutchinson, T., Lai, C., 1991. The Engineer Statistician's Guide to Continuous Bivariate Distributions, first edition. Rumsby Scientific Publishing, pp. 157-233 (Chapters 10, 11).
10. B. Kanninen Optimal experimental design for double-bounded dichotomous choice contingent valuation Land Econom. 69 2 1993 138-146
11. C. Kitsos D. Titterington B. Torsney An optimal design problem in rhythmometry Biometrics 44 1988 657-671
12. Musrati, A., 1992. Locally optimal designs for binary and weighted regression models. Master's Thesis, Department of Statistics, University of Glasgow.
13. W.F. Rosenberger New directions in adaptive designs Statist. Sci. 11 2 1996 137-149
14. P. Sebastiani R. Settimi A note on d-optimal designs for a logistic regression model J. statist. Planning and Inference 59 1997 359-368
15. R. Sibson Discussion on results in the theory and construction of D -optimal experimental designs J. Roy. Stat. Ser. B 34 1972 181-183
16. S. Silvey Discussion on results in the theory and construction of D -optimal experimental designs J. Roy. Stat. Ser. B 34 1972 174-175
17. Torsney, B., Gunduz, N., 1999. A brief review of optimal designs in contingent valuation studies. In: Pazman, A., Wimmer, G. (Eds.), PROBASTAT'98 Proceedings of the Third International Conference on Mathematical Statistics, February 9-13, 1998, vol. 17, Mathematical Institute, Slovak Academy of Science, Slovakia, Tatra Mountains Mathematical Publications, pp. 185-195.
18. Torsney, B., Gunduz, N., 2000. D-optimal designs for multiparameter binary regression model. Technical Report 00-7, Department of Statistics, University of Glasgow, Scotland, UK.
19. Torsney, B., Musrati, A., 1993. On the construction of optimal designs with applications to binary response and to weighted regression models. In: Muller, W., Wynn, H., Zhigliausky, A. (Eds.), Proceedings of the 3rd Model Oriented Data Workshop in Petrodvorets, Russia, Vol. 3, Physica-Verlag GmbH Co. Heildelberg, Physica-Verlag, pp. 37-52.
20. Wynn, H., 1972. Results in the theory and construction of D-optimal experimemtal designs. J. Roy. Stat. Ser. B 34, 133-147, 170-186. (with discussion).