References
- Bonnevie BT. 2010. Balancing moult data by subsampling non-moulting birds prior to regression analysis. Ostrich 81: 265–268. https://doi.org/10.2989/00306525.2010.517941
- Cook RD. 1977. Detection of influential observations in linear regression. Technometrics 19: 15–18.
- Cook RD. 1979. Influential observations in linear regression. Journal of the American Statistical Association 74: 169–174. https://doi.org/10.1080/01621459.1979.10481634
- Cook RD. 1986. Assessment of local influence (with discussion). Journal of the Royal Statistical Society, Series B. Methodological 48: 133–169. https://doi.org/10.1111/j.2517-6161.1986.tb01398.x
- Cook RD, Weisberg S. 1992. Residuals and influence in regression. New York: Chapman & Hall.
- Erni B, Bonnevie BT, Oschadleus HD, Altwegg R, Underhill LG. 2013. moult: An R package to analyze moult in birds. Journal of Statistical Software 52: 1−23. https://doi.org/10.18637/jss.v052.i08
- Mahalanobis PC. 1930. On tests and measures of group divergence. Journal of the Asiatic Society of Bengal 26: 541−588.
- R Core Team. 2019. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. Available at https://www.Rproject.org.
- Scott T. 2023. A contribution to understanding the primary moult of birds. PhD thesis, University of Cape Town, South Africa.
- Scott T, Raijmakers JMH, Underhill LG. 2023. The primary moult of adult Red-headed Finches Amadina erythrocephala. Ostrich 94: 278–291. https://doi.org/10.2989/00306525.2023.2265571
- Underhill LG, Zucchini W. 1988. A model for avian primary moult. Ibis 130: 358–372. https://doi.org/10.1111/j.1474-919X.1988.tb08810.x