Preprint Article Version 1 This version is not peer-reviewed

A Regularized Raking Estimator for Small Area Mapping from Forest Inventory Surveys

Version 1 : Received: 7 October 2019 / Approved: 9 October 2019 / Online: 9 October 2019 (07:38:07 CEST)

A peer-reviewed article of this Preprint also exists.

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. Forests 2019, 10, 1045.

Journal reference: Forests 2019, 10, 1045
DOI: 10.3390/f10111045

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.

Subject Areas

fia; forest inventory; small area estimation; survey weight

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