References
- Akaike, H. 1974. A new look at the statistical model identification. IEEE Trans. Autom. Control 19 (6):716–723.
- Benaglia, T., D. Chauveau, D. R. Hunter, and D. Young. 2009. Mixtools: An R Package for analyzing finite mixture models. J. Stat. Software 32 (6):1–29.
- Birnbaum, Z. W., and S. C. Saunders. 1969. A new family of life distributions. J. Appl. Probab. 6:319–327.
- Bohning, D. 2000. Computer-Assisted Analysis of Mixtures and Applications: Meta-Analysis, Disease Mapping and Others. London: Chapman & Hall.
- Dempster, A. P., N. M. Laird, and D. B. Rubin. 1977. Maximum likelihood from incomplete data via the EM algorithm. J. Royal Stat. Soc. Ser. B (Methodological) 39:1–38.
- Hall, I. J. 1984. Approximate one-sided tolerance limits for the difference or sum of two independent normal variates. J. Qual. Technol. 16:15–19.
- Lindsay, B. G. 1995. Mixture models. theory, geometry and applications. NSF-CBMS Regional Conference Series in Probability and Statistics, 5, Alexandria, Virginia: Institute of Mathematical Statistics and the American Statistical Association.
- McLachlan, G. J., and D. Peel. 2000. Finite Mixture Models. New York: Wiley.
- Newcomb, S. 1886. A generalized theory of the combination of observations so as to obtain the best result. Am. J. Math. 8:343–366.
- Pearson, K. 1894. Contributions to the mathematical theory of evolution. Phil. Trans. A 185:7.
- Redner, R. A., H. F. Walker. 1984. Mixture densities, maximum likelihood and the EM algorithm. SIAM Rev. 26:195–239.
- Teodorescu, S., and E. Panattescu. 2009. On the truncated composite Weibull- Pareto model. Math. Rep. - Bucharest 11:259–273.
- Titterington, D. M., A. F. M. Smith, and U. E. Markov. 1985. Statistical Analysis of Finite Mixture Distributions. New York: Wiley.
- Weldon, W. F. R. 1892. Certain correlated variations in Crangon Vulgaris. Proc. Royal Soc. London 51:2–21.
- Weldon, W. F. R. 1893. On certain correlated variations in carcinus moenas. Proc. Royal Soc. London 54:318–329.
- Weerahandi, S., and R. A. Johnson. 1992. Testing reliability in a stress–strength model when X and Y are normally distributed. Technometrics 38:83–91.
- Yee, W. T. 2015. Vector Generalized Linear and Additive Models: With an Implementation in R. New York, USA: Springer.