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    Author(s): Paul L. PattersonSara A. Goeking
    Date: 2012
    Source: In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 330-333.
    Publication Series: Paper (invited, offered, keynote)
    Station: Northern Research Station
    PDF: View PDF  (555.7 KB)

    Description

    The annual forest inventory of New Mexico began as an accelerated inventory, and 8 of the 10 Phase 2 panels were sampled between 2008 and 2011. The inventory includes a large proportion of nonresponse. FIA's estimation process uses post-stratification and assumes that nonresponse occurs at random within each stratum. We construct an estimator for the New Mexico inventory and derive an estimated variance based on the missing-at-random assumption.

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    Citation

    Patterson, Paul L.; Goeking, Sara A. 2012. Estimators used in the New Mexico inventory: practical implications of "truly" random nonresponse within each stratum. In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 330-333.

    Keywords

    statistics, estimation, sampling, modeling, remote sensing, forest health, data integrity, environmental monitoring, cover estimation, international forest monitoring

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