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- W765505630 abstract "Methods proposed to solve the missing data problem in estimation procedures should consider the type of missing data, the missing data mechanism, the sampling design and the availability of auxiliary variables correlated with the process of interest. This article explores the use of geostatistical models with multiple imputation to deal with missing data in environmental surveys. The method is applied to the analysis of data generated from a probability survey to estimate Coho salmon abundance in streams located in western Oregon watersheds." @default.
- W765505630 created "2016-06-24" @default.
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- W765505630 date "2010-05-01" @default.
- W765505630 modified "2023-10-10" @default.
- W765505630 title "Applying Multiple Imputation with Geostatistical Models to Account for Item Nonresponse in Environmental Data" @default.
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- W765505630 doi "https://doi.org/10.22237/jmasm/1272687960" @default.
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