Registro:

Referencias:

• Durrett, R., (2001) Essentials of Stochastic Processes, , Springer, New York
• Kurtz, T.G., Solutions of ordinary differential equations as limits of pure jump Markov processes (1970) J. Appl. Prob., 7, p. 49
• Kurtz, T.G., Limit theorems for sequences of jump processes approximating ordinary differential equations (1971) J. Appl. Prob., 8, p. 344
• Gillespie, D.T., The chemical Langevin equation (2000) J. Chem. Phys., 115 (1), p. 297
• Nåsell, I., Measles outbreaks are not chaotic (2002) Mathematical Approaches for Emerging and Reemerging Infectious Diseases: Models, Methods, and Theory, pp. 85-114. , Castillo Chavez C. (Ed), Springer, New York
• Henson, S.M., Costantino, R.F., Cushing, J.M., Desharnais, R.A., Dennis, B., King, A.A., Lattice effects observed in chaotic dynamics of experimental populations (2001) Science, 294, p. 602
• Bartlett, M.S., Measles periodicity and community size (1957) J. R. Statist. Soc. A, 120, p. 48
• Bartlett, M.S., The critical community size for measles in the united states (1960) J. R. Statist. Soc. A, 123, p. 37
• Aparicio, J.P., Solari, H.G., Sustained oscillations in stochastic systems (2001) Math. Biosci., 169, p. 5
• Carter, H.R., (1931) Yellow Fever: An Epidemiological and Historical Study of Its Place of Origin, , The Williams & Wilkins Company, Baltimore
• Carbajo, A.E., Curto, S.I., Schweigmann, N., Spatial distribution pattern of oviposition in the mosquito Aedes aegypti in relation to urbanization in buenos aires: southern fringe bionomics of an introduced vector (2006) Med. Vet. Entomol., 20, p. 209
• Otero, M., Solari, H., Schweigmann, N., A stochastic population dynamic model for Aedes aegypti: formulation and application to a city with temperate climate (2006) Bull. Math. Biol., 68, p. 1945
• Durrett, R., Levin, S.A., The importance of being discrete (and spatial) (1994) Theor. Popul. Biol., 46, p. 363
• Nåsell, I., The quasi-stationary distribution of the closed endemic sis model (1996) Adv. Appl. Prob., 28, p. 895
• Nåsell, I., Extinction and quasi-stationarity in the Verhulst logistic model (2001) J. Theor. Biol., 211, p. 11
• Coulson, T., Rohani, P., Pascual, M., Skeletons, noise and population growth: the end of an old debate? (2004) TRENDS Ecol. Evol., 19 (7), p. 359
• Chapman, R.N., The quantitative analyisis of environmental factors (1928) Ecology, 9 (2), p. 111
• Arnold, L., The unfolding of dynamics in stochastic analysis (1997) Comput. Appl. Math, 16, p. 3
• Arnold, L., (1998) Random Dynamical Systems, , Springer, Berlin
• van Kampen, N.G., (1981) Stochastic Processes in Physics and Chemistry, , North-Holland, Amsterdam
• van Kampen, N.G., The validity of nonlinear Langevin equations (1981) J. Stat. Phys., 25, p. 431
• Ethier, S.N., Kurtz, T.G., (1986) Markov Processes, , Wiley, New York
• Kushner, H.J., The concept of invariant set for stochastic dynamical systems and applications to stochastic stability (1967) Stochastic Optimization and Control, pp. 47-57. , Karren H.F. (Ed), Wiley
• Kushner, H.J., Stochastic stability (1972) Lecture Notes in Mathematics: Stability of Stochastic Dynamical Systems, 294, pp. 97-124. , Dold A., and Eckmann B. (Eds), Springer, Berlin
• Aparicio, J.P., Solari, H.G., Population dynamics: a Poissonian approximation and its relation to the Langevin process (2001) Phys. Rev. Lett., 86, p. 4183

Citas:

---------- APA ----------

---------- CHICAGO ----------

---------- MLA ----------

---------- VANCOUVER ----------