How to cite this paper
Achcar, J., Piratelli, C & Souza, R. (2013). Modeling quality control data using mixture of parametrical distributions.International Journal of Industrial Engineering Computations , 4(3), 417-426.
Refrences
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Diebolt, J., & Robert, C.P. (1994). Estimation of finite mixture distributions through Bayesian sampling. Journal of the Royal Statistical Society. Series B (Methodological), 56, pp. 363–375.
Finkelstein, M.S., & Esaulova, V. (2001). Modeling a failure rate for a mixture of distribution functions. Probab. Eng. Inf. Sci., 15, 383–400.
Gelfand, A.E., & Smith, A.F.M. (1990). Sampling-Based Approaches to Calculating Marginal Densities. Journal of the American Statistical Association, 85, 398–409.
Lawless, J.F. (1982). Statistical Models and Methods for Lifetime Data (Wiley Series in Probability & Mathematical Statistics). John Wiley & Sons.
Lunn, D., Spiegelhalter, D., Thomas, A., & Best, N. (2009). The BUGS project: Evolution, critique and future directions. Statistics in medicine, 28, 3049–3067.
Mengersen, K., & Robert, C. (1996). Bayesian Statistics, 5. Oxford University Press, Oxford. chapter Testing for mixtures: a Bayesian entropy approach.
Paulino, D.C., Turkman, M.A.A., & Murteira, B. (2003). Estatstica Bayesiana. Fundaç?o Calouste, Lisboa.
Richardson, S., & Green, P.J. (1997). On bayesian analysis of mixtures with an unknown number of components. Journal of the Royal Statistical Society. Series B (Methodological), 59, pp. 731–792.
Stephens, M., 2000a. Bayesian methods for mixtures of normal distributions. Master’s thesis.Stephens, M., 2000b. Dealing with label switching in mixture models. Journal Of The Royal Statistical Society Series B, 62, 795–809.
Titterington, D.M., Smith, A.F.M., & Makov, U.E. (1985). Statistical Analysis of Finite Mixture Distributions. John Wiley & Sons Ltd. SERIES: Wiley Series in probability and mathematical statistics.
Chib, S., & Greenberg, E. (1995). Understanding the Metropolis-Hastings Algorithm. The American Statistician, 49, 327–335.
Dey, D.K., Kuo, L., & Sahu, S.K. (1995). A bayesian predictive approach to determining the number of components in a mixture distribution. Statistics and Computing, 5, 297–305.
Diebolt, J., & Robert, C.P. (1994). Estimation of finite mixture distributions through Bayesian sampling. Journal of the Royal Statistical Society. Series B (Methodological), 56, pp. 363–375.
Finkelstein, M.S., & Esaulova, V. (2001). Modeling a failure rate for a mixture of distribution functions. Probab. Eng. Inf. Sci., 15, 383–400.
Gelfand, A.E., & Smith, A.F.M. (1990). Sampling-Based Approaches to Calculating Marginal Densities. Journal of the American Statistical Association, 85, 398–409.
Lawless, J.F. (1982). Statistical Models and Methods for Lifetime Data (Wiley Series in Probability & Mathematical Statistics). John Wiley & Sons.
Lunn, D., Spiegelhalter, D., Thomas, A., & Best, N. (2009). The BUGS project: Evolution, critique and future directions. Statistics in medicine, 28, 3049–3067.
Mengersen, K., & Robert, C. (1996). Bayesian Statistics, 5. Oxford University Press, Oxford. chapter Testing for mixtures: a Bayesian entropy approach.
Paulino, D.C., Turkman, M.A.A., & Murteira, B. (2003). Estatstica Bayesiana. Fundaç?o Calouste, Lisboa.
Richardson, S., & Green, P.J. (1997). On bayesian analysis of mixtures with an unknown number of components. Journal of the Royal Statistical Society. Series B (Methodological), 59, pp. 731–792.
Stephens, M., 2000a. Bayesian methods for mixtures of normal distributions. Master’s thesis.Stephens, M., 2000b. Dealing with label switching in mixture models. Journal Of The Royal Statistical Society Series B, 62, 795–809.
Titterington, D.M., Smith, A.F.M., & Makov, U.E. (1985). Statistical Analysis of Finite Mixture Distributions. John Wiley & Sons Ltd. SERIES: Wiley Series in probability and mathematical statistics.