Studies in the Analysis of Serially Dependent Data.
Abstract
The analysis of linear models with independent homescedastic, normal noise (white noise) occupies a prominent position in applied statistics. This report is concerned with the linear model analysis of data which cannot be assumed statistically independent because the data have been collected sequentially in time or space.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1978
- Accession Number
- ADA054556
Entities
People
- Lars Chr. Pallesen
Organizations
- University of Wisconsin–Madison