Nagle, N.N.; Schroeder, T.A.; Rose, B. A Regularized Raking Estimator for Small-Area Mapping from Forest Inventory Surveys. Forests2019, 10, 1045.
Nagle, N.N.; Schroeder, T.A.; Rose, B. A Regularized Raking Estimator for Small-Area Mapping from Forest Inventory Surveys. Forests 2019, 10, 1045.
Nagle, N.N.; Schroeder, T.A.; Rose, B. A Regularized Raking Estimator for Small-Area Mapping from Forest Inventory Surveys. Forests2019, 10, 1045.
Nagle, N.N.; Schroeder, T.A.; Rose, B. A Regularized Raking Estimator for Small-Area Mapping from Forest Inventory Surveys. Forests 2019, 10, 1045.
Abstract
We propose a new estimator for creating expansion factors for survey plots in the USDA Forest Inventory and Analysis program. This is a regularized version of the raking estimator widely used in sample surveys. The regularized raking method differs from other predictive modeling methods for integrating survey and ancillary data in that it produces a single set of expansion factors that can have general purpose use to produce small area estimates and wall-to-wall maps of any plot characteristic. This method also differs from other more widely used survey techniques, such of GREG estimation, in that it is guaranteed to produce positive expansion factors. We extend the previous method here to include cross-validation, and provide a comparison to expansion factors between the regularized raking and ridge GREG survey calibration.
Keywords
fia; forest inventory; small area estimation; survey weight
Subject
Computer Science and Mathematics, Probability and Statistics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
