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LITERATURE CITED

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  • Brownstone, D., and K. Train (1999). “Forecasting New Product Penetration with Flexible Substitution Patterns.” Journal of Econometrics 89: 10929.
  • Currim I. (1982). “Predictive Testing of Consumer Choice Models Not Subject to Independence of Irrelevant Alternatives.” Journal of Marketing Research 19:2, 20822.
  • Draper, D. (1995). “Inference and Hierarchical Modeling in the Social Sciences.” Journal of Educational and Behavioral Statistics 20: 11547.
  • Fik, T. J., and G. F. Mulligan (1998). “Functional Form and Spatial Interaction Models.” Environment and Planning A 30:8, 14971507.
  • Fotheringham, A. S. (1984). “Spatial Flows and Spatial Patterns.” Environment and Planning A 16: 51943.
  • Fotheringham, A. S. (1991). “Migration and Spatial Structure: The Development of the Competing Destinations Model.” In Migration Models: Macro and Micro Approaches, (edited by J.Stillwell and P.Congdon, pp. 5772. Belhaven Press.
  • Gelman, A., J. Carlin, H. Stern, and D. Rubin (1995). Bayesian Data Analysis. Chapman and Hall.
  • Haynes, K., D. Good, and T. Dignan (1988). “Discrete Spatial Choice and the Axiom of Independence from Irrelevant Alternatives.” Socio-Economic Planning Sciences 22(6), 24151.
  • Hill, D., W. Axinn, and A. Thornton (1993). “Competing Hazards with Shared Unmeasured Risk Fctors.” Sociological Methodology 23: 24577.
  • Hobbs, R. (1995). “Rising Emergency Admissions.” British Medical Journal 310: 207208.
  • Joseph, A., and D. Phillips (1984). Accessibility and Utilization: Geographical Perspectives on Health Care Delivery. New York: Harper and Row.
  • Lesage, J., and M. Magura (1992). “A Mixture-Model Approach to Combining Forecasts.” Journal of Business and Economic Statistics 10: 44552.
  • Mayhew, L., and G. Leonardi (1982). “Equity, Efficiency and Accessibility in Urban and Regional Health-Care Systems.” Environment and Planning 14 A: 14791507.
  • National Health Service (NHS) Executive/Department of Health (1999). “Modernising the NHS in London.” Her Majesty's Stationery Office.
  • O'Kelly, M. (1999). “Trade-Area Models and Choice-based Samples: Methods.” Environment and Planning A 31: 61327.
  • Raftery, A. E. (1995). “Bayesian Model Selection in Social Research.” Sociological Methodology 25: 11163.
  • Royal College of Surgeons (1988). “Management of Patients in Major Injuries.” Report of Working Party. Royal College of Surgeons, London.
  • Spiegelhalter, D., A. Thomas, N. Best, and W. Gilks (1995). “BUGS: Bayesian Inference Using Gibbs Sampling,” version 0.50. Medical Research Council Biostatistics Unit, Cambridge CB2 2SR.
  • Spiegelhalter, D., N. Best, and B. Carlin (1998) “Bayesian Deviance, the Effective Number of Parameters, and the Comparison of Arbitrarily Complex Models.” Manuscript, Medical Research Council Biostatistics Unit, Cambridge CB2 2SR.
  • Taket, A., and L. Mayhew (1981). “Interactions between the Supply of and Demand for Hospital Services in London.” Oma 9: 51926.
  • Upton, G. (1991). “The Exploratory Analysis of Survey Data using Log-linear Models.” The Statistician 40: 16982.
  • Wakefield, J. and S. Morris (1999). “Spatial Dependence and Errors-in-Variables in Environmental Epidemiology.” In Bayesian Statistics 6, edited by J.Bernardo, J.Berger, A.Dawid, and A.Smith, pp. 65784. Oxford University Press.
  • West, M., J. Harrison, and H. Migon (1985). “Dynamic Generalized Linear Models and Bayesian Forecasting.” Journal of the American Statistical Association 80: 7383.
  • Zhang J., and S. Hoffman (1993). “Discrete-Choice Logit-Models—Testing the IIA Property.” Sociological Methods and Research 22:2, 193213.