Skip to main content

Multivariate Estimators for Sampling with Partial Replacement on Two Occasions

Buy Article:

$29.50 plus tax (Refund Policy)

General formulae for sampling with partial replacement (SPR) on two occasions are extended from the univariate to the multivariate case. Problems related to practical application (existence and optimality of SPR estimators) are discussed. The formulae are used to calculate stand tables in a given forest area measured on two occasions. Forest Sci. 20:106-116.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Keywords: Forest inventory; stand tables

Document Type: Journal Article

Affiliations: Professors of Operations Research and of Statistics (retired) at the State University College of Environmental Science and Forestry, Syracuse, New York

Publication date: 1974-06-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • 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