PUBLICATIONS PRIOR TO 1997

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1. Peiris, M. Shelton. Improving the precision of forecasting. Microelectronics and Reliability, 36 (1996), 1375--1378.

2. Poznanski, R and Peiris, M. Shelton. Subthreshold response to white-noise current input in a tapering cable model of a neuron. IMA Journal of Mathematics Applied In Medicine & Biology, 13 (1996), 207--222.

3. Peiris, M. Shelton; Singh, N. Predictors for seasonal and nonseasonal fractionally integrated ARIMA models. Biometrical J . 38 (1996), no. 6, 741--752. 62M10

4. Thavaneswaran, A.; Peiris, Shelton. Nonparametric estimation for some nonlinear models. Statist. Probab. Lett. 28 (1996), no. 3, 227--233. 62M09 (62G05)

5. Rai, S. N.; Abraham, B.; Peiris, S. Analysis of short time series with an over-dispersion model. Comm. Statist. Theory Methods 24 (1995), no. 2, 335--348. 62M10

7 Chen, Gemai; Abraham, Bovas; Peiris, Shelton. Lag window estimation of the degree of differencing in fractionally integrated time series models. J. Time Ser. Anal. 15 (1994), no. 5, 473--487. 62M10

8. Peiris, M. Shelton. Some aspects of forecasting with vector moving average processes. Calcutta Statist. Assoc. Bull. 44 (1994), no. 175-176, 151--156. 62M10

9. Peiris, M. S.; Court, J. R. A note on the estimation of degree of differencing in long memory time series analysis. Probab. Math. Statist. 14 (1993), no. 2, 223--229 (1994). 62M10

10. Peiris, M. Shelton and N. Singh. Some non-stationary ARMA models. Advances in Modelling and Simulation, 27 (1991), 21--34.

11. Peiris, M. Shelton. Analysis of multivariate ARMA processes with nonstationary innovations. Comm. Statist. Theory Methods 19 (1990), no. 8, 2847--2852. 62M10

12. Singh, N.; Peiris, M. S. Optimal experimental designs for linear time series models with stochastic coefficients. J. Indian Soc. Statist. Oper. Res. 10 (1989), no. 1-4, 29--37. 62K05 (62M10)

13. Peiris, M. S.; Perera, B. J. C. On prediction with fractionally differenced ARIMA models. J. Time Ser. Anal. 9 (1988), no. 3, 215--220. 62M20 (60G25)

14. Peiris, M. Shelton. On the prediction of multivariate ARMA processes with a time dependent covariance structure. Comm. Statist. Theory Methods 17 (1988), no. 1, 27--37. 62M10

15. Peiris, M. Shelton. On the study of some functions of multivariate ARMA processes. J. Multivariate Anal. 25 (1988), no. 1, 146--151. 62M10 (60G10)

16. Singh, N.; Peiris, M. S. Optimal experimental designs for linear time series models with stochastic coefficients. J. Indian Soc. Statist. Oper. Res.8 (1987), no.1-4, 1--9. 62K05 (62M10)

17. Peiris, M. Shelton. A note on the predictors of differenced sequences. Austral. J. Statist. 29 (1987), no. 1, 42--48. 62M20 (60G25)

18. Singh, N.; Peiris, M. Shelton. A note on the properties of some nonstationary ARMA processes. Stochastic Process. Appl. 24 (1987), no. 1, 151--155. 60G12 (62M10)

19. Peiris, M. Shelton and N. Singh. A simple and asymptotically optimal test of equality for $q > 2$ multivariate normal distributions: A pragmatic approach to one way classification. Microeclectron. Reliab, 27 (1987), 567--573.

20. Peiris, M. Shelton. On prediction with time dependent ARMA models. Comm. Statist. A---Theory Methods 15 (1986), no. 12, 3659--3668. 62M10 (62M20)