Southern Research Station

Title: Evaluating Multiple Imputation Models for the Southern Annual Forest Inventory

Author: Reams, Gregory A.; McCollum, Joseph M.

Date: 1999

Source: Reprinted from the 1999 Proceedings of the Section on Statistics and the Environment of the American Statistical Association

Description: The USDA Forest Service's Southern Research Station is implementing an annualized forest survey in thirteen states. The sample design is a systematic sample of five interpenetrating grids (panels), where each panel is measured sequentially. For example, panel one information is collected in year one, and panel five in year five. The area representative and time series nature of the sample design offers increased flexibility in providing estimates of annual growth, mortality, removals and change in forest area. Restricting analyses to the most recently measured panel results in many missing cells in standard forest inventory tables. Rather than treat all unmeasured panels as missing, imputed values are used to update plots in each unmeasured panel. Because it is uncertain what analyses the ultimate users of these public-use data may engage in, we evaluate the effect and consequences of excluding important predictor variables from the imputation models.

Keywords: 

View and Print this Publication (131 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 (851 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.

 Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility

Citation

Reams, Gregory A.; McCollum, Joseph M.  1999.  Evaluating Multiple Imputation Models for the Southern Annual Forest Inventory.   Reprinted from the 1999 Proceedings of the Section on Statistics and the Environment of the American Statistical Association