Generating pseudo-random variables from mixture models by exemplary sampling

References

• Berger , J.O. 1985 . Statistical Decision Theory and Bayesian Analysis , U.S.A : Springer-Verlag .
   Google Scholar
• Billingsley , P. 1986 . Probability and Measure , U.S.A : John Wiley & Sons .
   Google Scholar
• Everitt , B.S. and Hand , D.J. 1981 . Finite Mixture Distributions , London, , UK : Chapman and Hall .
   Google Scholar
• Heckman , J.J. and Singer , B. 1984 . A method for minimizing the impact of distributional assumptions in econometric models for duration data . Econometrica , 52 : 271 – 319 .
   Web of Science ®Google Scholar
• Kennedy , W.J. and Gentle , J.E. 1980 . Statistical Computing , U.S.A : Marcel Dekker .
   Google Scholar
• Laird , N.M. 1978 . Non-parametric maximum likelihood estimation of a mixing distribution . Journal of the American Statistical Association , 73 : 805 – 811 .
   Web of Science ®Google Scholar
• Laird , N.M. and Louis , T.A. 1991 . Smoothing the non-parametric estimate of a prior distribution by roughening: A computational study . Computational Statistics and Data Analysis , 12 : 27 – 37 .
   Web of Science ®Google Scholar
• Marshall , A.W. and Olkin , I. 1988 . Families of multivariate distributions . Journal of the American Statistical Association , 83 : 834 – 841 .
   Web of Science ®Google Scholar
• Stromberg , K.R. 1981 . An Introduction to Classical Real Analysis , U.S.A : Wadsworth .
   Google Scholar
• Tanner , M.A. 1991 . Tools for Statistical Inference , U.S.A : Springer-Verlag .
   Google Scholar