Multiple Comparison Procedures for Determining the Optimal Complexity of a Model

Pedro L. Galindo, Joaquín Pizarro Junquera, Elisa Guerrero Vázquez. Multiple Comparison Procedures for Determining the Optimal Complexity of a Model. In Francesc J. Ferri, José Manuel Iñesta Quereda, Adnan Amin, Pavel Pudil, editors, Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante. Volume 1876 of Lecture Notes in Computer Science, pages 796-805, Springer, 2000. [doi]

@inproceedings{GalindoJG00,
  title = {Multiple Comparison Procedures for Determining the Optimal Complexity of a Model},
  author = {Pedro L. Galindo and Joaquín Pizarro Junquera and Elisa Guerrero Vázquez},
  year = {2000},
  url = {http://link.springer.de/link/service/series/0558/bibs/1876/18760796.htm},
  researchr = {https://researchr.org/publication/GalindoJG00},
  cites = {0},
  citedby = {0},
  pages = {796-805},
  booktitle = {Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante},
  editor = {Francesc J. Ferri and José Manuel Iñesta Quereda and Adnan Amin and Pavel Pudil},
  volume = {1876},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-67946-4},
}