Some Angular-Linear Distributions and Related Regression Models Academic Article

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. 1978, Taylor & Francis Group, LLC.

authors

• Wehrly, Thomas

published proceedings

• Journal of the American Statistical Association

author list (cited authors)

• Johnson, R. A., & Wehrly, T. E.

citation count

• 155

complete list of authors

• Johnson, Richard A||Wehrly, Thomas E

publication date

• September 1978

publisher

• Taylor & Francis  Publisher

published in

• JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION  Journal

keywords

• 49 Mathematical Sciences
• 4905 Statistics

Digital Object Identifier (DOI)

• 10.1080/01621459.1978.10480062

start page

• 602

end page

• 606

volume

• 73

issue

• 363

URL

• http://dx.doi.org/10.1080/01621459.1978.10480062