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Volumn 46, Issue 1, 2004, Pages 87-98

Ultimate extinction of the promiscuous bisexual Galton-Watson metapopulation

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EID: 1842765610 PISSN: 13691473 EISSN: None Source Type: Journal
DOI: 10.1111/j.1467-842X.2004.00315.x Document Type: Article

Times cited : (13)

References (12)

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- Alsmeyer, G.¹ Rösler, U.²

2
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- ALSMEYER, G. & RÖSLER, U. (2002). Asexual versus promiscuous bisexual Galton-Watson processes: The extinction probability ratio. Ann. Appl. Probab. 12, 125-142.
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- Alsmeyer, G.¹ Rösler, U.²

3
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- Drug resistant parasites and aggregated infection - Early season dynamics
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- Cornell, S.J.¹ Isham, V.S.² Grenfell, B.T.³

5
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- Spatial parasite transmission, drug resistance and the spread of rare genes
- CORNELL, S.J., ISHAM, V.S., SMITH, G. & GRENFELL, B.T. (2003b). Spatial parasite transmission, drug resistance and the spread of rare genes, Proc. Natl. Acad. Sci. USA. 100, 7401-7405.
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- Cornell, S.J.¹ Isham, V.S.² Smith, G.³ Grenfell, B.T.⁴

6
- 0007168236
- Extinction probabilities for certain bisexual Galton-Watson branching processes
- DALEY, D.J. (1968). Extinction probabilities for certain bisexual Galton-Watson branching processes. Z. Wahrsch. Verw. Gebiete 9, 315-322.
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- Daley, D.J.¹

7
- 0000504498
- Bisexual Galton-Watson branching processes with superadditive mating functions
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- Daley, D.J.¹ Hull, D.M.² Taylor, J.M.³

8
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- Patterns of parasite aggregation in trichostrongylid-ruminant interactions
- GRENFELL, B.T., WILSON, K., ISHAM, V.S., BOYD, H.E.G. & DIETZ, K. (1995). Patterns of parasite aggregation in trichostrongylid-ruminant interactions. Parasitology 111, 8135-S151.
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- Grenfell, B.T.¹ Wilson, K.² Isham, V.S.³ Boyd, H.E.G.⁴ Dietz, K.⁵

9
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- On stochastic host-parasite interaction models
- HERBERT, J. & ISHAM, V. (2000). On stochastic host-parasite interaction models. J. Math. Biol. 40, 343-371.
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- A reconsideration of Galton's problem (using a two-sex population)
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- Hull, D.M.¹

11
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- Stochastic models of host-macroparasite interaction
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- Isham, V.¹

12
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- Togetherness among Schistosomes: Its effect on the dynamics of the infection
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