How to cite this paper
Kaviyarasu, V & Sivakumar, P. (2022). Optimization of Bayesian repetitive group sampling plan for quality determination in Pharmaceutical products and related materials.International Journal of Industrial Engineering Computations , 13(1), 31-42.
Refrences
Aslam, M., Yen, C. H., & Jun, C. H. (2011). Variable repetitive group sampling plans with process loss consideration. Journal of Statistical Computation and Simulation, 81(11), 1417-1432.
Balamurali, S., Park, H., Jun. C-H., Kim, K-J., & Lee, J. (2005) Designing of Variables Repetitive Group Sampling Plan involving minimum Average Sample Number. Communications in Statistics - Simulation and Computation, 34(3), 799-809.
Bohning, D., Dietz, E., Schlattmann, P., Mendonca, L., & Kirchner, U. (1999). The zero-inflated Poisson model and the decayed, missing and filled teeth index in dental epidemiology. Journal of Royal Statistical Society, 162(2), 195-209.
Cameron, J. M. (1952). Tables for constructing and for computing the operating characteristics of single sampling plans. Industrial Quality Control, 9(1), 37-39.
Calvin, T.W. (1990). How and When to Perform Bayesian Acceptance Sampling. American Society for Quality Control, Vol. 7, Wisconsin.
Case, K. E., & Keats. J. B. (1982). On the selection of a prior distribution in Bayesian Acceptance Sampling. Journal of Quality Technology, 14(1), 10-18.
Fallah Nezhad, M. S., & Seifi, S. (2017). Repetitive group sampling plan based on the process capability index for the lot acceptance problem. Journal of Statistical Computation and Simulation, 87(1), 29-41.
Guthrie, D., & Johns, M. V. (1959). Bayes acceptance sampling procedures for large lots. The Annals of Mathematical Statistics, 30(4), 896-925.
Gupta, P. L., Gupta, R. C., & Tripathi, R. C. (1996). Analysis of zero-adjusted count data. Computational Statistics & Data Analysis, 23(2), 207-218.
Hald, A. (1981). Statistical Theory of Sampling Inspection by Attributes. Academic Press, New York.
Kaviyarasu, V., & Sivakumar. P. (2019). Implication of production and monitoring techniques in Bayesian Single sampling plan using Gamma- Zero Inflated Poisson distribution, International journal of recent technology and Engineering, 8(4), 2277-3878.
Lambert, D. (1992). Zero-inflated Poisson regression with an application to defects in manufacturing. Technometrics, 34(1), 1–14.
Loganathan, A., Shalini, K. (2014).Determination of Single Sampling Plans by attributes under the conditions of Zero-Inflated Poisson distribution. Communications in Statistics - Simulation and Computation, 43(3), 538-548.
Mussida. A., Barron. U.G., and Butler. F. (2011) Operating characteristic curves for single, double, and multiple fraction defective sampling plans developed for cronobacter in powder infant formula. Procedia food science by Elsevier 1, 976-986.
Perez-González, C. J., Fernandez, A. J., & Kohansal, A. (2020). Efficient truncated repetitive lot inspection using Poisson defect counts and prior information. European Journal of Operational Research, 287(3), 964-974.
Rao, G. S., & Aslam, M. (2017). Resubmitted lots with single sampling plans by attributes under the conditions of zero-inflated Poisson distribution. Communications in Statistics-Simulation and Computation, 46(3), 1814-1824.
Rodrigues, J. (2003). Bayesian analysis of zero-inflated distributions. Communications in Statistics-Theory and Methods, 32(2), 281-289.
Sano, S., Kadowaki, T., Tsuda, K., & Kimura, S. (2020). Application of Bayesian optimization for pharmaceutical product development. Journal of Pharmaceutical Innovation, 15(3), 333-343.
Schilling, E. G., & Neubauer, D. V. (2017). Acceptance sampling in quality control. Crc Press.
Sim, C. H., & Lim, M. H. (2008). Attribute charts for zero-inflated processes. Communications in Statistics—Simulation and Computation®, 37(7), 1440-1452.
Sherman, R.E. (1965). Design and evaluation of a Repetitive Group Sampling Plan. Technometrics, 7(1), 11–12.
Soundararajan, V., Ramaswamy, M.M. (1986). Procedures and tables for construction and selection of Repetitive Group Sampling Plan. The QR Journal, 13(1), 19-21.
Suresh, K. K., & Latha, M. (2001). Bayesian single sampling plans for a gamma prior.
Unhapipat, S., Tiensuwan, M., & Pal, N. (2018). Bayesian predictive inference for zero-inflated Poisson (ZIP) distribution with applications. American Journal of Mathematical and Management Sciences, 37(1), 66-79.
Vijayaraghavan, R., Rajagopal, K., & Loganathan, A. (2008). A procedure for selection of a gamma-Poisson single sampling plan by attributes. Journal of Applied Statistics, 35(2), 149-160.
World Health Organization. (2007). Quality assurance of pharmaceuticals: A compendium of guidelines and related materials. Good manufacturing practices and inspection (Vol. 2). World Health Organization.
Xie, M., & Goh, T. N. (1993). Spc of a near zero‐defect process subject to random shocks. Quality and Reliability Engineering International, 9(2), 89-93.
Xie, M., He, B., & Goh, T. N. (2001). Zero-inflated Poisson model in statistical process control. Computational Statistics & Data Analysis, 38.
Balamurali, S., Park, H., Jun. C-H., Kim, K-J., & Lee, J. (2005) Designing of Variables Repetitive Group Sampling Plan involving minimum Average Sample Number. Communications in Statistics - Simulation and Computation, 34(3), 799-809.
Bohning, D., Dietz, E., Schlattmann, P., Mendonca, L., & Kirchner, U. (1999). The zero-inflated Poisson model and the decayed, missing and filled teeth index in dental epidemiology. Journal of Royal Statistical Society, 162(2), 195-209.
Cameron, J. M. (1952). Tables for constructing and for computing the operating characteristics of single sampling plans. Industrial Quality Control, 9(1), 37-39.
Calvin, T.W. (1990). How and When to Perform Bayesian Acceptance Sampling. American Society for Quality Control, Vol. 7, Wisconsin.
Case, K. E., & Keats. J. B. (1982). On the selection of a prior distribution in Bayesian Acceptance Sampling. Journal of Quality Technology, 14(1), 10-18.
Fallah Nezhad, M. S., & Seifi, S. (2017). Repetitive group sampling plan based on the process capability index for the lot acceptance problem. Journal of Statistical Computation and Simulation, 87(1), 29-41.
Guthrie, D., & Johns, M. V. (1959). Bayes acceptance sampling procedures for large lots. The Annals of Mathematical Statistics, 30(4), 896-925.
Gupta, P. L., Gupta, R. C., & Tripathi, R. C. (1996). Analysis of zero-adjusted count data. Computational Statistics & Data Analysis, 23(2), 207-218.
Hald, A. (1981). Statistical Theory of Sampling Inspection by Attributes. Academic Press, New York.
Kaviyarasu, V., & Sivakumar. P. (2019). Implication of production and monitoring techniques in Bayesian Single sampling plan using Gamma- Zero Inflated Poisson distribution, International journal of recent technology and Engineering, 8(4), 2277-3878.
Lambert, D. (1992). Zero-inflated Poisson regression with an application to defects in manufacturing. Technometrics, 34(1), 1–14.
Loganathan, A., Shalini, K. (2014).Determination of Single Sampling Plans by attributes under the conditions of Zero-Inflated Poisson distribution. Communications in Statistics - Simulation and Computation, 43(3), 538-548.
Mussida. A., Barron. U.G., and Butler. F. (2011) Operating characteristic curves for single, double, and multiple fraction defective sampling plans developed for cronobacter in powder infant formula. Procedia food science by Elsevier 1, 976-986.
Perez-González, C. J., Fernandez, A. J., & Kohansal, A. (2020). Efficient truncated repetitive lot inspection using Poisson defect counts and prior information. European Journal of Operational Research, 287(3), 964-974.
Rao, G. S., & Aslam, M. (2017). Resubmitted lots with single sampling plans by attributes under the conditions of zero-inflated Poisson distribution. Communications in Statistics-Simulation and Computation, 46(3), 1814-1824.
Rodrigues, J. (2003). Bayesian analysis of zero-inflated distributions. Communications in Statistics-Theory and Methods, 32(2), 281-289.
Sano, S., Kadowaki, T., Tsuda, K., & Kimura, S. (2020). Application of Bayesian optimization for pharmaceutical product development. Journal of Pharmaceutical Innovation, 15(3), 333-343.
Schilling, E. G., & Neubauer, D. V. (2017). Acceptance sampling in quality control. Crc Press.
Sim, C. H., & Lim, M. H. (2008). Attribute charts for zero-inflated processes. Communications in Statistics—Simulation and Computation®, 37(7), 1440-1452.
Sherman, R.E. (1965). Design and evaluation of a Repetitive Group Sampling Plan. Technometrics, 7(1), 11–12.
Soundararajan, V., Ramaswamy, M.M. (1986). Procedures and tables for construction and selection of Repetitive Group Sampling Plan. The QR Journal, 13(1), 19-21.
Suresh, K. K., & Latha, M. (2001). Bayesian single sampling plans for a gamma prior.
Unhapipat, S., Tiensuwan, M., & Pal, N. (2018). Bayesian predictive inference for zero-inflated Poisson (ZIP) distribution with applications. American Journal of Mathematical and Management Sciences, 37(1), 66-79.
Vijayaraghavan, R., Rajagopal, K., & Loganathan, A. (2008). A procedure for selection of a gamma-Poisson single sampling plan by attributes. Journal of Applied Statistics, 35(2), 149-160.
World Health Organization. (2007). Quality assurance of pharmaceuticals: A compendium of guidelines and related materials. Good manufacturing practices and inspection (Vol. 2). World Health Organization.
Xie, M., & Goh, T. N. (1993). Spc of a near zero‐defect process subject to random shocks. Quality and Reliability Engineering International, 9(2), 89-93.
Xie, M., He, B., & Goh, T. N. (2001). Zero-inflated Poisson model in statistical process control. Computational Statistics & Data Analysis, 38.