Double-observer line transect surveys with Markov-modulated Poisson process models for animal availability

Borchers DL, Langrock R (2015)
Biometrics 71(4): 1060-1069.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Borchers, D. L.; Langrock, RolandUniBi
Erscheinungsjahr
2015
Zeitschriftentitel
Biometrics
Band
71
Ausgabe
4
Seite(n)
1060-1069
ISSN
0006-341X
Page URI
https://pub.uni-bielefeld.de/record/2902629

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Borchers DL, Langrock R. Double-observer line transect surveys with Markov-modulated Poisson process models for animal availability. Biometrics. 2015;71(4):1060-1069.
Borchers, D. L., & Langrock, R. (2015). Double-observer line transect surveys with Markov-modulated Poisson process models for animal availability. Biometrics, 71(4), 1060-1069. doi:10.1111/biom.12341
Borchers, D. L., and Langrock, Roland. 2015. “Double-observer line transect surveys with Markov-modulated Poisson process models for animal availability”. Biometrics 71 (4): 1060-1069.
Borchers, D. L., and Langrock, R. (2015). Double-observer line transect surveys with Markov-modulated Poisson process models for animal availability. Biometrics 71, 1060-1069.
Borchers, D.L., & Langrock, R., 2015. Double-observer line transect surveys with Markov-modulated Poisson process models for animal availability. Biometrics, 71(4), p 1060-1069.
D.L. Borchers and R. Langrock, “Double-observer line transect surveys with Markov-modulated Poisson process models for animal availability”, Biometrics, vol. 71, 2015, pp. 1060-1069.
Borchers, D.L., Langrock, R.: Double-observer line transect surveys with Markov-modulated Poisson process models for animal availability. Biometrics. 71, 1060-1069 (2015).
Borchers, D. L., and Langrock, Roland. “Double-observer line transect surveys with Markov-modulated Poisson process models for animal availability”. Biometrics 71.4 (2015): 1060-1069.

1 Zitation in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Distance sampling detection functions: 2D or not 2D?
Borchers DL, Cox MJ., Biometrics 73(2), 2017
PMID: 27753074

21 References

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