1. On the Assignment of Individuals to Latent Classes
By L. A. Goodman. 2007
97 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Food Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/50847060e759831ce166d8b8bfbddb1aa632a4c3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jeroen K. Vermunt
- Jay Magidson
- L. DeCarlo
- Maria Iannario
- M. Porcu
- Francesca Giambona
- G. Notelaers
- Staale Einarsen
In Food Science
In Statistics and Probability
- Jeroen K. Vermunt
- Karen Nylund-Gibson
- Katherine E. Masyn
- L. DeCarlo
- Jay Magidson
- B. Muthén
- Maria Iannario
- Zsuzsa Bakk
Citations in the corpus
- Bias-Adjusted Three-Step Latent Markov Modeling With Covariates (2016, unknown): “Other assignment rules are available in the literature, such as random assignment (see, e.g., Goodman, 2007).”
- Latent Class Modeling with Covariates: Two Improved Three-Step Approaches (2010, methodology): “Possible classification methods are modal, random, and proportional assignment (Goodman 1974a, 1974b, 2007; McLachlan and Peel 2000; Dias and Vermunt 2008).”
- Estimating the Association between Latent Class Membership and External Variables Using Bias-adjusted Three-step Approaches (2013, unknown): “While the true class memberships cannot be observed, the parameters of the measurement model described in equations 1 to 3 can be used to derive procedures for estimating these class memberships, that is, for assigning individuals to classes (Goodman 1974, 2007; Clogg 1981; Hagenaars 1990).”