The Rater Bundle Model

By Mark R. Wilson, Machteld Hoskens. 2001

82 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7b47d75805a956af03150c1a27275cb76191bbfc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Wen-Chung Wang
2. Mark R. Wilson
3. Carol M. Woods
4. Ching-Lin Shih
5. Ya-Hui Su
6. Mark R. Wilson
7. Kevin J. Grimm

In Management Science and Operations Research

1. Wen-Chung Wang
2. Mark R. Wilson
3. Carol M. Woods
4. Ching-Lin Shih
5. Ya-Hui Su
6. Mark R. Wilson
7. Kevin J. Grimm

In Statistics and Probability

1. Wen-Chung Wang
2. Mark R. Wilson

Citations in the corpus

• Exploring Local Item Dependence Using a Random-Effects Facet Model (2005, methodology): “Wilson and Adams (1995), Hoskens and De Boeck (1997), Wilson and Hoskens (2001), and Tuerlinckx, De Boeck, and Lens (2002) adopted the so-called item-bundle method (Rosenbaum, 1988) to model LID: Instead of expressing the likelihood as a product of the probabilities of the individual items, the…”