On the numerical approximation of the bivariate normal (tetrachoric) correlation coefficient
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DOI: 10.1007/BF02291118
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Cited by:
- Sarah Lein & Eva Koeberl, 2009.
"Capacity utilisation, constraints and price adjustments under the microscope,"
KOF Working papers
09-239, KOF Swiss Economic Institute, ETH Zurich.
- Sarah M. Lein & Eva Köberl, 2009. "Capacity Utilisation, Constraints and Price Adjustments under the Microscope," Working Papers 2009-06, Swiss National Bank.
- Golob, Thomas F. & Regan, Amelia C., 1999. "Freight industry attitudes towards policies to reduce congestion," University of California Transportation Center, Working Papers qt3fq6x2sq, University of California Transportation Center.
- Battauz, Michela & Vidoni, Paolo, 2022. "A likelihood-based boosting algorithm for factor analysis models with binary data," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
- Golob, Thomas F. & Regan, A C, 1999. "Freight Industry Attitudes Towards Policies to Reduce Congestion," University of California Transportation Center, Working Papers qt57r4d3fd, University of California Transportation Center.
- Golob, Thomas F. & Reagan, Amelia C., 2002. "Trucking Industry Adoption of Information Technology: A structural Multivariate Discrete Choice Model," University of California Transportation Center, Working Papers qt7kv5f17n, University of California Transportation Center.
- Golob, Thomas F. & Regan, A C, 2002. "Trucking Industry Adoption of Information Technology: A Structural Multivariate Probit Model," University of California Transportation Center, Working Papers qt9w1988t7, University of California Transportation Center.
- Bengt Muthén & Charles Hofacker, 1988. "Testing the assumptions underlying tetrachoric correlations," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 563-577, December.
- Taban Baghfalaki & Mojtaba Ganjali, 2020. "A transition model for analyzing multivariate longitudinal data using Gaussian copula approach," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(2), pages 169-223, June.
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