Small-Area Estimation for the USDA Forest Service, National Woodland Owner Survey: Creating a Fine-Scale Land Cover and Ownership Layer to Support County-Level Population Estimates

Small-Area Estimation of County-Level Forest Attributes Using Ground Data and Remote Sensed Auxiliary Information

Small-area estimation (SAE) is a concept that has considerable potential for precise estimation of forest ecosystem attributes in partitioned forest populations. In this study, several estimators were compared as SAE techniques for 12 counties in the northern Oregon Coast range. The estimators that were compared consisted of three indirect estimators, multiple linear regression (MLR), gradient ...

Small Area Estimation Alternatives for the National Crime Victimization Survey

The National Crime Victimization Survey (NCVS) has provided annual estimates of the number of victimizations for several types of crime since 1972, with an almost exclusive focus on national rates. Most of the programs to prevent or reduce crime are implemented locally, however. To respond to a resulting interest in subnational statistics, the Bureau of Justice Statistics (BJS) has been recentl...

Usda Forest Service

USDA Forest Service

Wildland fire is an important disturbance agent in the western US and globally. However, the natural role of fire has been disrupted in many regions due to the influence of human activities, which have the potential to either exclude or promote fire, resulting in a ‘‘fire deficit’’ or ‘‘fire surplus’’, respectively. In this study, we developed a model of expected area burned for the western US ...

Small Area Variance Modeling with Application to County Poverty Estimates from the American Community Survey

Variances in the American Community Survey are estimated using a replicate weight methodology (Fay, 1995). In counties with small sample sizes, the variance estimates of poverty statistics show wide variation as a function of sample size. Generalized Variance Functions (GVF) can be used to smooth out the uncertainty of the design-based variance estimate. We propose incorporating GVFs with small...