Estimation of Quantities of Drugs Handled and the Burden of Proof

Journal of the Royal Statistical Society. Series A: Statistics in Society

Volumn 160, Issue 2, 1997, Pages 333-350

  Aitken, C G G ^a   Bring, J ^b   Leonard, T ^b   Papasouliotis, O ^b  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b NONE

Author keywords

Burden of proof; Forensic science; Predictive distributions

Indexed keywords

EID: 0010478152     PISSN: 09641998     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-985X.00066     Document Type: Article

References (21)

1. Aitchison, J. and Dunsmore, I. R. (1975) Statistical Prediction Analysis. Cambridge: Cambridge University Press.
2. Anderson, T. and Twining, W. (1991) Analysis of Evidence. London. Weidenfeld and Nicolson.
3. Box, G. E. P. and Cox, D. R. (1964) An analysis of transformations (with discussion). J. R. Statist. Soc. B, 26, 211-252.
4. Bring, J. and Aitken, C. G. G. (1996) United States v. Shonubi and the use of statistics in court. Expert Evid., 4, 134-142.
5. _(1997) Burden of proof and estimation of drug quantities under The Federal Sentencing Guidelines. Card. Law Rev., to be published.
6. Collins, H. (1996) Scientific evidence: a common sense approach is needed. Expert Evid., 4, 156-158.
7. Cowles, M. K. and Carlin, B. P. (1996) Markov chain Monte Carlo convergence diagnostics: a comparative review. J. Am. Statist. Ass., 91, 883-904.
8. DeGroot, M. H. (1986) Probability and Statistics, 2nd edn. Reading: Addison-Wesley.
9. Fienberg, S. E. (ed.) (1989) The Evolving Role of Statistical Assessments as Evidence in the Courts. New York: Springer.
10. Fienberg, S. E. and Kadane, J. B. (1983) The presentation of Bayesian statistical analyses in legal proceedings. Statistican, 32, 88-98.
11. Gastwirth, J. L. (1992) Statistical reasoning in the legal setting. Am. Statistn, 46, 55-69.
12. Geisser, S. (1993) Predictive Inference: an Introduction. London: Chapman and Hall.
13. Geweke, J. (1989) Bayesian inference in econometric models using Monte Carlo integration. J. Econometr., 57, 1317-1339.
14. Lavine, M. and West, M. (1992) A Bayesian method for classification and discrimination. Can. J. Statist., 20, 451-461.
15. Leonard, T. (1982) Comment on 'A simple predictive density function' by Lejeune, M. and Faulkenbury, G. D. J. Am. Statist. Ass., 77, 657-658.
16. Lindley, D. V. (1971) The estimation of many parameters (with discussion). In Foundations of Statistical Inference (eds V. P. Godambe and D. A. Sprott), pp. 435-453. Toronto: Holt, Rinehart and Winston.
17. Lindley, D. V. and Smith, A. F. M. (1972) Bayes estimates for the linear model (with discussion). J. R. Statist. Soc. B, 34, 1-41.
18. McEwan, J. (1996) Hypothetical or actual fact: common sense and probability as evidence in United States v. Shonubi. Expert Evid., 4, 150-155.
19. Michon, J. (1996) What did Mr. Shonubi swallow? Expert Evid., 4, 143-146.
20. Pakes, F. (1996) Shonubi: on the value of missing evidence. Expert Evid., 4, 147-149.
21. U.S. Sentencing Commission (1995) U.S. Federal Sentencing Guidelines Manual, ch. 2, part D (http: //www.ussc.gov/guide/ch2ptd.htm). Washington DC: U.S. Sentencing Commission.