[1] | Naskar, M and Das, K. (2004). Inference in Dirichlet process mixed generalized linear models by using Monte Carlo EM. Australian & New Zealand Journal of Statistics. Vol. 46, No. 4, 685-701. |
[2] | Naskar, M., Das, K. and Ibrahim, J.G. (2005). A semiparametric mixture model for analyzing cluster competing risks data. Biometrics. Vol. 61, No. 3, 729-737. |
[3] | Naskar, M. and Das, K. (2006). Semiparametric analysis of two level bivariate binary data. Biometrics. Vol. 62, No. 3, 1004-1013. |
[4] | Das, Kalyan and Naskar, M. (2007). Effectiveness of tibolone on the reduction of menopausal problems-A Bayesian semi-parametric interpretation. Statistics in Medicine. Vol. 26, No. 6, 1301-1317 |
[5] | Tanuka Chattopadhyay, Ranjeeb Mishra, Asish Kumar Chattopadhyay and Malay Naskar (2007). Statistical Evidence for Three classes of Gamma-ray Bursts. The Astrophysical Journal, Volume 667, Issue 2, pp. 1017-1023. |
[6] | Naskar, M. (2008). Semiparametric analysis of clustered survival data under non-parametric frailty. Statistica Neerlandica. Vol. 62, nr. 2, pp. 155-172. |
[7] | Roy, G., Naskar, Malay and Ghosh, S. N. (2009). Development of Digital thermal insulation value tester for jute products. Indian Journal of Fibre and Textile Research. Vol. 34, March 2009, pp. 36-40 |
[8] | Sujit Kumar Ghosh, Surajit Sengupta and Malay Naskar (2010). Physio-mechanical properties of particle boards from agro-wastes. Journal of Scientific and Industrial Research . Vol 69, pp. 396-400. |
[9] | Naskar, M., Sengupta, S. and Ghosh, A. (2011) . A new computerized instrument (TexLAD) for analyzing linear and area density of textiles. Journal of the institution of engineers (India), Textile engineering. Volume, 91, pp: 3-7 |