You are here: Home
/ Publication Information
Title: Estimating Uncertainty in Annual Forest Inventory Estimates
Author: McRoberts, Ronald E.; Lessard, Veronica C.;
Source: In: American Statistical Association; 1999 proceedings of the section on statistics and the environment; 1999 August 8-12; Baltimore, MD. Alexandria, VA: American Statisitcal Association: 19-24
Publication Series: Scientific Journal (JRNL)
Description: The precision of annual forest inventory estimates may be negatively affected by uncertainty from a variety of sources including: (1) sampling error; (2) procedures for updating plots not measured in the current year; and (3) measurement errors. The impact of these sources of uncertainty on final inventory estimates is investigated using Monte Carlo simulation techniques.
Keywords: Monte Carlo simulation, Forest inventory, Growth model, Moving average
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
- This publication may be available in hard copy. Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact Sharon Hobrla, email@example.com if you notice any errors which make this publication unusable.
XML: View XML
McRoberts, Ronald E.; Lessard, Veronica C. 1999. Estimating Uncertainty in Annual Forest Inventory Estimates. In: American Statistical Association; 1999 proceedings of the section on statistics and the environment; 1999 August 8-12; Baltimore, MD. Alexandria, VA: American Statisitcal Association: 19-24
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility