A Stochastic Restrictions Regression Model Approach to Volume Equation Estimation
Authors: Meng, C. H.; Tang, S. Z.; Burk, T. E.
Source: Forest Science, Volume 36, Number 1, 1 March 1990 , pp. 54-65(12)
Publisher: Society of American Foresters
Abstract:The stochastic restrictions regression estimator is suggested as a means of combining auxiliary information with standard regression applied to a data set. A derivation of the estimator is given, and the estimator is compared to other estimators that use auxiliary information and other regression approaches that have previously been applied in forestry. A test statistic for determining whether the auxiliary information is unbiased is presented along with a table of critical values. Approximate confidence interval procedures are obtained, and consistent means of estimating nuisance parameters are given. Finally, an example is provided to illustrate calculations. For. Sci. 36(1):54-65.
Document Type: Journal Article
Affiliations: Associate Professor, Department of Forest Resources, College of Natural Resources, University of Minnesota, St. Paul
Publication date: March 1, 1990
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