Bivariate probit analysis: Minimum Chi-square methods

Journal of the American Statistical Association

Volumn 69, Issue 348, 1974, Pages 940-944

  Amemiya, Takeshi ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84931232971     PISSN: 01621459     EISSN: 1537274X     Source Type: Journal    
DOI: 10.1080/01621459.1974.10480232     Document Type: Article

References (13)

1. Ashford, J.R. and Sowden, R.R., “Multi-Variate Probit Analysis,” Biometries, 26 (September 1970), 535–46.
2. Grizzle, J.E., “Multivariate Logit Analysis,” Biometrics, 27 (December 1971), 1057–62.
3. ——, Starmer, C.F. and Koch, G.G., “Analysis of Categorical Data by Linear Models,” Biometrics, 25 (September 1969), 489–504.
4. Gumbel, E.J., “Bivariate Logistic Distributions,” Journal of the American Statistical Association, 56 (June 1961), 335–49.
5. Kelley, T.L., The Kelley Statistical Tables, Cambridge: Harvard University Press, 1948.
6. Koopmans, T.C. and Hood, W.C., “The Estimation of Simultaneous Linear Economic Relationships,” in W.C. Hood and T.C. Koopmans, eds., Studies in Econometric Method, New York: John Wiley and Sons, Inc., 1953.
7. 2Test,” in J. Neyman, ed., Proceedings of the Berkeley Symposium on Mathematical Statistics and Probability, Berkeley, California: University of California Press, 1949, 239–74.
8. Rao, C.R., Linear Statistical Inference and Its Applications, New York: John Wiley and Sons, Inc., 1965.
9. Taylor, W.F., “Distance Functions and Regular Best Asymptotically Normal Estimates,” The Annals of Mathematical Statistics, 24 (March 1953), 85–92.
10. U.S. Department of Commerce, National Bureau of Standards, Tables of Probability Functions, Vol. II, Washington, D.C.: U.S. Government Printing Office, 1948.
11. ——, Tables of Bivariate Normal Distribution Function and Related Functions, Washington, D.C.: U.S. Government Printing Office, 1959.
12. Zellner, A., “An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias,” Journal of the American Statistical Association, 57 (June 1962), 348–68.
13. —— and Lee, T.H., “Joint Estimation of Relationships Involving Discrete Random Variables,” Econometrica, 33 (April 1965), 382–94.