Regression estimators in forest inventories with three-phase sampling and two multivariate components of auxiliary information
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Date
2013Type
- Report
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Abstract
We consider three-phase sampling schemes where one multivariate component of the auxiliary information is known in the very large sample of the so-called null phase ("almost exhaustive") and the second multivariate component is available only in the large sample of the rst phase, whereas the second phase provides the terrestrial inventory data. We extend the generalized regression estimator with partially exhaustive information to this three-phase set-up, for both global and local estimation and derive its asymptotic designbased variance. We also consider further extensions to cluster and two-stage sampling. Show more
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https://doi.org/10.3929/ethz-a-009990020Publication status
publishedPublisher
Eidgenössische Technische Hochschule Zürich, Departement UmweltsystemwissenschaftenSubject
FOREST INVENTORY (FORESTRY); FORSTINVENTUR (FORSTWIRTSCHAFT); STICHPROBENERHEBUNG (MATHEMATISCHE STATISTIK); INCOMPLETE DATA AND MISSING DATA (MATHEMATICAL STATISTICS); UNVOLLSTÄNDIGE DATEN UND FEHLENDE DATEN (MATHEMATISCHE STATISTIK); QUESTIONNAIRES (MATHEMATICAL STATISTICS); CORRELATION ANALYSIS + REGRESSION ANALYSIS (MULTIVARIATE STATISTICS); KORRELATIONSANALYSE + REGRESSIONSANALYSE (MULTIVARIATE STATISTIK)Organisational unit
02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science03331 - Heinimann, Hans-Rudolf (emeritus) / Heinimann, Hans-Rudolf (emeritus)
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