Discriminant function analysis with nonindependent data : consequences and an alternative
By Roger Mundry, Christina Sommer. 2007
308 citations recorded by the source corpus.
Subfields: Developmental Biology, Ecology, Signal Processing
View Paper: https://www.semanticscholar.org/paper/250d2bc8c04496450ac456505f16bccdda656647
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Developmental Biology
- Zanna Clay
- Richard W. Byrne
- R. Young
- Cristiane Cäsar
- P. Pongrácz
- K. Zuberbühler
- Zsofia Viranyi
- Otto von Helversen
In Ecology
- K. Zuberbühler
- R. Young
- Richard W. Byrne
- Otto von Helversen
- Zanna Clay
- Markus Metz
- Cristiane Cäsar
- Á. Miklósi
In Signal Processing
Citations in the corpus
- ‘The bone is mine’: affective and referential aspects of dog growls (2010, methodology): “Our sample of growls in its present form and size is not suitable for a detailed acoustical analysis (for example permuted discriminant function analysis, see Mundry & Sommer 2007), which could prove the existence of distinct growl types in the different contexts.”
- Food-associated calling sequences in bonobos. (2009, methodology): “Since the acoustic data for food-associated calls were two-factorial (caller ID; call type), it has been argued that conventional DFA does not allow for a valid estimation of the overall significance of discriminability (Mundry & Sommer 2007).”
- Learned vocal group signatures in the polygynous bat Saccopteryx bilineata (2012, methodology): “We estimated the significance of the classification success by using two-tailed binomial tests (following Mundry & Sommer 2007).”
- The alarm call system of wild black-fronted titi monkeys, Callicebus nigrifrons (2012, methodology): “Therefore, we used a permutated discriminant function analysis (pDFA), using a macro written by Mundry and Sommer (2007), to estimate the cross-validated significance of the number of correctly classified calls.”