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Volume 14, issue 2 | Copyright

Special issue: Progress in landslide hazard and risk evaluation

Nat. Hazards Earth Syst. Sci., 14, 259-278, 2014
https://doi.org/10.5194/nhess-14-259-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 17 Feb 2014

Research article | 17 Feb 2014

Sample size matters: investigating the effect of sample size on a logistic regression susceptibility model for debris flows

T. Heckmann et al.
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Cited articles
Akaike, H.: Information Theory and an Extension of the Maximum Likelihood Principle, in: Proceedings of the Second International Symposium on Information Theory, edited by: Petrov, B. N. and Csaki, F., Akademiai Kiado, Budapest, 267–281, 1973.
Ardizzone, F., Cardinali, M., Carrara, A., Guzzetti, F., and Reichenbach, P.: Impact of mapping errors on the reliability of landslide hazard maps, Nat. Hazards Earth Syst. Sci., 2, 3–14, https://doi.org/10.5194/nhess-2-3-2002, 2002.
Atkinson, P. M. and Massari, R.: Autologistic modelling of susceptibility to landsliding in the Central Apennines, Italy, Geomorphology, 130, 55–64, https://doi.org/10.1016/j.geomorph.2011.02.001, 2011.
Atkinson, P. M., Jiskoot, H., Massari, R., and Murray, T.: Generalized linear modelling in geomorphology, Earth Surf. Proc. Land., 23, 1185–1195, 1998.
Ayalew, L. and Yamagishi, H.: The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan, Geomorphology, 65, 15–31, 2005.
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