Publications

(PHD). Bahrami Samani, E.,  Ganjali, M. and Khodaddadi, A.  (2008). A Latent Variable Model for Mixed Continuous and Ordinal Responses. Journal of Statistical Theory and Applications. 7(3):337-349.

1.Bahrami Samani, E., Ganjali, M. (2009). Bayesian multivariate latent variable model for mixed correlated ordinal and continuous responses. Journal of Statistical Research, 43(2): 17-27.

  1. Bahrami Samani, E., Ganjali, M. and Eftekhari Mahabadi, S.(2009). Analyzing Mixed Correlated Continuous and Ordinal Responses: A Latent Variable approach  Journal of   Applied Statistical Science. 17(4):1-12
  2. Bahrami Samani, E., Ganjali, M. and Eftekhari Mahabadi, S. (2010), A Latent Variable Model for Mixed Continuous and Ordinal Responses with Nonignorable  Missing Responses. Sankhya. 72-B, Part 1: 38-57
  3. Bahrami Samani and E., Ganjali, M. (2010),A Multivariate Latent Variable Model for Mixed – Data from Continuous and Ordinal Responses with Possibility of Missing Responses. Applications and Applied Mathematics: An International Journal   (AAM). 5 (10): 1564-1584.

     5 .      Shabani, S. , Bahrami Samani, E. and Eslahchi, Ch. (2010). Fitting a Poisson Regression Model on the Iranian Premier League Football Results. Iranian Journal of official Statistcs  Studies. 21(2): 229-237.

  1. SamaniE. B. and Ganjali. M. (2011).  Bayesian   latent variable Model for Mixed Continuous and Ordinal Responses with Possibility of Missing Responses. Journal of Applied Statistics.38(6): 1103–1116.
  2. SamaniE. B.  and Thamasebinejad. Zh.(2011). Joint Modelling of Mixed Correlated Nominal, Ordinal and Continuous Responses. Journal of Statistical Research. 45(1): 37-47.
  3. Bahrami Samani . E. (2011).  A Multivariate Latent Variable Model with Possibility of Missing Data on a Stochastic Process. Applications and Applied Mathematics: An International Journal   (AAM). 11(6):1830-1844.
  4. Bahrami Samani, E., Ganjali, M. and Zahed, H. (2011), A Multivariate Latent Random Effect Model for Mixed Continuous and Ordinal Longitudinal Responses with Missing Responses. Journal of Statistical Theory and Applications. 10(3):357-378.
  5. Bahrami Samani . E.and Ganjali. M. (2011). Sensitivity Analysis for  Nonignorable Missing Responses with Application to Multivariate Random Effect Model.  Metorn. 2011, vol. LXIX, n. 3, pp. 309-322.
  6. Bahrami Samani . E., Ganjali. M. and Amirian. Y. (2012).Zero – Inflated Power Series Joint Model to Analyze Count Data with Missing Responses. Journal of Statistical Theory and Practice. 6:1–10.
  7. Davallo. P and Bahrami Samani . E. (2012).Image Quality Measurement by SVD Method And Two-Sample Kolmogorov-Smirnov Test. International Journal of Tomography & Statistics. 20(2),47-56.
  8. Amirian. Y, Bahrami Samani . E. and Ganjali. M.(2012). Likelihood estimation for longitudinal zero-inflated power series regression models. Journal of  applied Statistics . 39(9), 1965-1974.
  9. E. Bahrami Samani and S. F. Miri.(2012). General Location Model for Correlated Nominal Continuous and Ordinal Responses with and without Missing Data. Journal of statistical  Sciences. 6(1): 99-110.
  10. Bahrami Samani . E. and Ganjali. M. (2013). Mixed Correlated Bivariate Ordinal and Negative Binomial Longitudinal Responses with Nonignorable Missing Values. Communications in Statistics – Theory and Methods. 43:2659-2673.
  11. F. Raziee, E. Bahrami Samani and M. Ganjali (2013). Analysis of Mixed Correlated Bivariate Negative Binomial and Continuous Responses. Applications and Applied Mathematics: An International Journal   (AAM). 8(2):404-415.
  12. E. Bahrami Samani.(2013). Local Influence in Bayesian Elliptically Contoured-Ordinal Model for Mixed Data. Applications and Applied Mathematics: An International Journal   (AAM). 8(2):391-403.
  13. Mogouie, H., Bahrami Samani, E., Amiri, A., Doroudyan, M. H. (2014).A process capability index for mixed binary-normal quality characteristics. Int. J. of Quality Engineering and Technology (IJQET). 4(1):66-80
  14. E. Bahrami Samani and H. Alipour (2014). Analysis of Mixed Discrete and Continuous Classified Responses. Journal of Advanced Mathematical Modeling (JAMM). 3(2):27-44.
  15. E. Bahrami Samani. (2014). Sensitivity Analysis for the Identifiability with Application to Latent Random Effect Model for the Mixed Data. Journal of applied  Statistics.41(12):2761-2776.
  16. E. Bahrami Samani andM. Ganjali (2014). A Bayesian Random Effects Model for Analysing Mixed Negative Binomial and Continuous Longitudinal Responses. Communications in Statistics – Theory and Methods. Accepted.
  17. N. Jafari and E. Bahrami Samani, and Tabrizi.(2014). Copula-based regression models for mixed – data with non- ignorable missing outcomes. Applications and Applied Mathematics: An International Journal   (AAM). Accepted.

 

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