- Afifi , A. A. and Elashoff , R. M. 1969 . Multivariate two sample tests with dichotomous and continuous variables. I. The location model . Ann. Math. Statist , 40 : 290 – 298 .
- Bickel , P. J. and Doksum , K. A. 1977 . mathematical Statistics: Basic Ideas and Selected Topics , San Francisco : Holden Day .
- Casella , G. and Berger , R. 1990 . Belmont : Duxbury .
- Catalano , P. J. and Ryan , L. M. 1992 . Bivariate latent variable models for clustered discrete and continuous outcomes . J. Am. Statist. Assoc , 87 : 651 – 658 .
- Fitzmaurice , G. M. and Laird , N. M. 1995 . Regression models for a bivariate discrete and continuous outcome with clustering . J. Am. Statist. Assoc , 90 : 845 – 852 .
- Johnson , N. L. and Kotz , S. 1970 . Continuous Univaviate Distributions-2 , Boston : Houghton Mifflin .
- Krzanowski , W. J. 1993 . The location model for mixtures of categorical and continuous variables . J. Classification , 10 : 25 – 49 .
- Little , R.J. and Rubin , D.B. 1987 . Statistical Analysis with Missing data , New York : John Wiley .
- Little , R. J. and Schluchter , M. D. 1985 . Maximum likelihood estimation for mixed continuous and categorical data with missing values . Biometrika , 72 : 497 – 512 .
- Liu , C. and Rubin , D. B. 1998 . Ellipsoidally symmetric extensions of the general location model for mixed categorical and continuous data . Biometrika , 85 : 673 – 688 .
- O'Brien , P. C. 1984 . Procedures for comparing samples with multiple end-points . Biometric , 40 : 1079 – 1087 .
- Olkin , I. and Tate , R. F. 1961 . Multivariate correlation models with mixed discrete and continuous variables . Ann. Math. Statist , 32 : 448 – 465 .
- Pocock , S. J. , Geller , N. L. and Tsiatis , A. A. 1987 . The analysis of multiple endpoints in clinical trials . Biometrics , 43 : 487 – 498 .
- Tate , R. F. 1955 . Applications of correlation models for biserial data . J. Am. Statist. Assoc , 50 : 1078 – 1095 .
- Tate , R. F. 1954 . Correlation between a discrete and a continuous variable . Ann. Math. Statist , 25 : 603 – 607 .
On the one-sample location hypothesis for mixed bivariate data
Reprints and Corporate Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
To request a reprint or corporate permissions for this article, please click on the relevant link below:
Academic Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
Obtain permissions instantly via Rightslink by clicking on the button below:
If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.