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Notes: Regression Problems from Repeated Measurements

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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.
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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

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