Skip Navigation

Biometrika 1975 62(2):305-311; doi:10.1093/biomet/62.2.305
© 1975 by Biometrika Trust
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by LAYCOCK, P. J.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Optimal design: Regression models for directions

P. J. LAYCOCK

Department of Mathematics, University of Manchester Institute of Science and Technology

Optimal designs are described for three cases. In the first, the dependent variable is a scalar which regresses on a direction, using the trigonometric or spherical harmonic systems. In the next case, the predictors are scalars whilst the regressor is a direction; models for this situation were introduced by Gould (1969). In the third case both the predictors and the regressor are directions, and a vector regression is suggested.

Key Words: Directions • Optimal design • Regression


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.