A Note On Bivariate Distributions That Are Conditionally Normal
| Title: | A Note On Bivariate Distributions That Are Conditionally Normal |
| Author: |
Meng, Xiao-Li; Gelman, Andrew
Note: Order does not necessarily reflect citation order of authors. |
| Citation: | Gelman, Andrew and Xiao-Li Meng. 1991. A note on bivariate distributions that are conditionally normal. The American Statistician 45(2): 125-126. |
| Access Status: | At the direction of the depositing author this work is not currently accessible through DASH. |
| Full Text & Related Files: |
Gelman_Note.pdf (348.1Kb; PDF) 
|
| Abstract: | It is possible for a nonnormal bivariate distribution to have conditional distribution functions that are normal in both directions. This article presents several examples, with graphs, including a counterintuitive bimodal joint density. The graphs simultaneously display the joint density and the conditional density functions, which appear as Gaussian curves in the three-dimensional plots. |
| Published Version: | doi:10.2307/2684374 |
| Citable link to this page: | http://nrs.harvard.edu/urn-3:HUL.InstRepos:5024665 |
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Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
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