Access

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

If you need an accessible version of this item please contact JSTOR User Support

Some Angular-Linear Distributions and Related Regression Models

Richard A. Johnson and Thomas E. Wehrly
Journal of the American Statistical Association
Vol. 73, No. 363 (Sep., 1978), pp. 602-606
DOI: 10.2307/2286608
Stable URL: http://www.jstor.org/stable/2286608
Page Count: 5
  • Download ($14.00)
  • Cite this Item
If you need an accessible version of this item please contact JSTOR User Support
Some Angular-Linear Distributions and Related Regression Models
Preview not available

Abstract

Parametric models are proposed for the joint distribution of bivariate random variables when one variable is directional and one is scalar. These distributions are developed on the basis of the maximum entropy principle and by the specification of the marginal distributions. The properties of these distributions and the statistical analysis of regression models based on these distributions are explored. One model is extended to several variables in a form that justifies the use of least squares for estimation of parameters, conditional on the observed angles.

Page Thumbnails

  • Thumbnail: Page 
602
    602
  • Thumbnail: Page 
603
    603
  • Thumbnail: Page 
604
    604
  • Thumbnail: Page 
605
    605
  • Thumbnail: Page 
606
    606