References
- Bishwal, J. P.N. (2008a). Parameter Estimation in Stochastic Differential Equations. Lecture Notes in Mathematics. vol. 1923. Berlin: Springer-Verlag.
- Bishwal, J. P.N. (2008b). Large deviations in testing fractional Ornstein-Uhlenbeck models. Statist. Probab. Lett. 78:953962.
- Blahut, R.E. (1984). Hypothesis testing and information theory. IEEE Trans. Inform. Theor. 20:405415.
- Chiyonobu, T. (2003). Hypothesis testing for signal detection problem and large deviations. Nagoya Math. J. 162:187203.
- Dembo, A., Zeitouni, O. (1998). Large deviations Techniques and Applications. New York: Springer-Verlag.
- Gapeev, P.V., Küchler, U. (2008). On large deviations in testing Ornstein-Uhlenbeck-type models. Statist. Infer. Stoch. Process. 11:143155.
- Giorno, V., Nobile, A., Ricciarde, L., Sacerdote, L. (1986). Some remarks on the Rayleigh process. J. Applied Probab. 23:398408.
- Gutiérrez, R., Gutiérrez-Sánchez, R., Nafidi, A. (2006). The Statistic Rayleigh diffusion model: Statistical inference and computational aspects. Applications to modelling of real cases. Appl. Math. Comput. 175:628644.
- Gutiérrez, R., Gutiérrez-Sánchez, R., Nafidi, A. (2008). Trend analysis and computational statistical estimation in a stochastic Rayleigh model: Simulation and application. Math. Comput. Simul. 77:209217.
- Han, T.S., Kobayashi, K. (1989). The strong converse theorem in hypothesis testing. IEEE Trans. Inform. Theor. 35:178180.
- Jiang, H., Zhao, S.J. (2011). Large and moderate deviations in testing time inhomogeneous diffusions. J.S.P.I. 141:31603169.
- Zhao, S.J., Gao, F.Q. (2010). Large deviations in testing Jacobi model. Statist. Probab. Lett. 80:3441.