Skip to main content

Notes: Stein-Rule Estimation of Timber Removals by County

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

The Stein-rule estimator for multivariate, unequal variance problems proposed by Morris in 1983 is applied to timber volume removal data from 11 counties in Louisiana. The estimator compared favorably to the standard sample mean in simulation trials with two sampling rules. The county means were closer to each other and had larger variances for hardwood removals than for softwood removals. Thus the gains were larger (up to 50% reductions in squared error) for hardwood removals, but there were substantial gains (10-30%) for softwood removals also. For. Sci. 33(4):1054-1061.

Keywords: Empirical Bayes estimation; bootstrap; forest inventory

Document Type: Miscellaneous

Affiliations: Professor of Statistics, Rutgers University, New Brunswick, NJ 08903

Publication date: December 1, 1987

More about this publication?
  • Membership Information
  • ingentaconnect is not responsible for the content or availability of external websites
saf/fs/1987/00000033/00000004/art00020
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect 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