EconPapers    
Economics at your fingertips  
 

Expected Mean Squares for Hierarchical Factorial Layouts with Population Imbalance

Shannon E. Allen and Burt Holland

Journal of Applied Statistics, 2007, vol. 34, issue 5, 625-637

Abstract: We introduce an analysis of variance usable for two-factor hierarchical models where observations are incompletely sampled from unbalanced populations of finite effects. Our new approach enables unbiased estimation of the variance components for this type of model and allows hypothesis testing to identify significant effects/sub-class effects. An explanation of how these results can be generalized to factorial layouts with more than two factors is given.

Date: 2007
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/02664760701235352 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:34:y:2007:i:5:p:625-637

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20

DOI: 10.1080/02664760701235352

Access Statistics for this article

Journal of Applied Statistics is currently edited by Robert Aykroyd

More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:japsta:v:34:y:2007:i:5:p:625-637