Applied Latent Class Analysis
By Robert Andersen, J. Hagenaars, Allan L. McCutcheon. 2003
1,369 citations recorded by the source corpus.
Applied Latent Class Analysis introduces several recent innovations in latent class analysis to a wider audience of researchers. Many of the world’s leading innovators in the field of latent class analysis have contributed essays to this volume, each presenting a key innovation to the basic latent class model and illustrating how it can prove useful in situations typically encountered in actual research.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/46f8dffb3dee9693519a19e4ad9ab1f9b64c95ed
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In Computer Vision and Pattern Recognition
- J. Torney-Purta
- Roger Azevedo
- Sarah J. Faubert
- Christopher R. Weber
- Elizabeth Litzler
- B. Weller
- M. Porcu
- Andre A. Rupp
Citations in the corpus
- Efficiency measurement using a latent class stochastic frontier model (2004, neutral): “… ⋅ = N i i N i i N i T t J j it T J K T j i j P J AIC i 1 1 1 1 1 2 ) ( 2 ln ) ( ) | ( ln ) ( ln ε ⋅ − ⋅ = ∑ = N i i T J K J LF J BIC 1 ln ) ( ) ( ln 2 ) ( 14 The book Applied Latent Class Analysis edited by Hagenaars and McCutcheon (2002) has several applications where the AIC…”