Skip to main content

Notes: Regression Problems from Repeated Measurements

The full text article is temporarily unavailable.

We apologise for the inconvenience. Please try again later.

Some consequences of using ordinary least squares estimation procedures with remeasurement data are explained. Of particular concern is the bias of variance estimates and alteration of the confidence coefficient for confidence intervals which result from correlations in the data. Results are presented allowing consideration of the problem's severity for data with two repeated measurements. Finally, alternative estimation procedures including generalized least squares and maximum likelihood are discussed. Forest Sci. 22:382-385.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: Permanent plot analysis; correlated data

Document Type: Miscellaneous

Affiliations: Assistant Professor of Statistics and Forestry, Virginia Polytechnic Institute and State University, Blacksburg, 24061

Publication date: 01 December 1976

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more