# An application of a small area procedure with correlation between measurement error and sampling error to the Conservation Effects Assessment Project

@inproceedings{Berg2021AnAO, title={An application of a small area procedure with correlation between measurement error and sampling error to the Conservation Effects Assessment Project}, author={Emily Berg and Sepideh Mosaferi}, year={2021} }

County level estimates of mean sheet and rill erosion from the Conservation Effects Assessment Project (CEAP) survey are useful for program development and evaluation. As a result of small county sample sizes, small area estimation procedures are needed. One variable that is related to sheet and rill erosion is the quantity of water runoff. The runoff is collected in the CEAP survey but is unavailable for the full population. We use an estimate of mean runoff from the CEAP survey as a covariate…

## References

SHOWING 1-10 OF 30 REFERENCES

Empirical Bayes small area prediction under a zero-inflated lognormal model with correlated random area effects.

- MathematicsBiometrical journal. Biometrische Zeitschrift
- 2020

This work develops empirical Bayes (EB) small area predictors and a bootstrap estimator of the mean squared error (MSE) and concludes that the EB predictors of mean RUSLE2 erosion are superior to direct estimators.

SMALL AREA ESTIMATION USING SURVEY WEIGHTS WITH FUNCTIONAL MEASUREMENT ERROR IN THE COVARIATE

- Mathematics
- 2011

Nested error linear regression models using survey weights have been studied in small area estimation to obtain efficient model‐based and design‐consistent estimators of small area means. The…

Prediction of small area quantiles for the conservation effects assessment project using a mixed effects quantile regression model

- Mathematics
- 2019

Quantiles of the distributions of several measures of erosion are important parameters in the Conservation Effects Assessment Project, a survey intended to quantify soil and nutrient loss on crop…

Small area prediction for a unit-level lognormal model

- Environmental ScienceComput. Stat. Data Anal.
- 2014

Small area estimation using survey weights under a nested error linear regression model with structural measurement error

- MathematicsJ. Multivar. Anal.
- 2012

Measurement Error in Small Area Estimation: Functional Versus Structural Versus Naive Models

- Environmental Science
- 2019

Small area estimation using area-level models can sometimes benefit from covariates that are observed subject to random errors, such as covariates that are themselves estimates drawn from another…

Pseudo-empirical Bayes estimation of small area means under a nested error linear regression model with functional measurement errors

- Mathematics
- 2010

Small area estimation when auxiliary information is measured with error

- Mathematics
- 2008

Small area estimation methods typically combine direct estimates from a survey with predictions from a model in order to obtain estimates of population quantities with reduced mean squared error.…

New important developments in small area estimation

- Mathematics
- 2013

The purpose of this paper is to review and discuss some of the new important developments in small area estimation methods, covering both design-based and model-dependent methods, with the latter methods further classified into frequentist and Bayesian methods.

Empirical Bayes Estimation of Small Area Means under a Nested Error Linear Regression Model with Measurement Errors in the Covariates

- Mathematics
- 2009

Abstract. Previously, small area estimation under a nested error linear regression model was studied with area level covariates subject to measurement error. However, the information on observed…