
How Do You Rate This Publication?
![]()
| Title: | Mixed Estimation for a Forest Survey Sample Design |
|---|---|
| Author(s): | Roesch, Francis A., Jr. |
| Date: | 1999 |
| Source: | Reprinted from the 1999 Proceedings of the Section on Statistics and the Environment of the American Statistical Association |
| Description: | Three methods of estimating the current state of forest attributes over small areas for the USDA Forest Service Southern Research Station's annual forest sampling design are compared. The three methods were (I) simple moving average, (II) single imputation of plot data that had been updated by externally developed models, and (III) local application of a global model that was determined through mixed estimation. In a preliminary analysis of current basal area estimation, the less complex Method III compared favorably with Method II in terms of squared error loss. |
View and Print this Publication (125 KB) ![]() |
|
| Pristine Version: | An uncaptured or "pristine" version of this publication is available. It has not been subjected to OCR (Optical Character Recognition) and therefore does not have any errors in the text. However it is a larger file size and some people may experience long download times. The "pristine" version of this publication is available here: View and Print the PRISTINE copy of this Publication (779 KB) | Publication Notes: |
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. Our on-line publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact the SRS Webmaster, srswebmaster@fs.fed.us if you notice any errors which make this publication unuseable. |
| Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility |