Journal Articles and Other Reports:
Raymond L. Czaplewski

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Czaplewski, Raymond L. 1973. A methodology for evaluation of parent-mutant competition using a generalized non-linear ecosystem model.

Czaplewski, Raymond L.; Parker, Michael. 1973. Use of a BOD oxygen probe for estimating primary productivity.

Czaplewski, Raymond L.; Crowe, Douglas M.; McDonald, Lyman L. 1983. Sample sizes and confidence intervals for wildlife population ratios.

Czaplewski, Raymond L. 1986. Acceptability of the Kalman filter to monitor pronghorn population size.

Czaplewski, Raymond L.; Alig, Ralph J.; Cost, Noel D. 1988. Monitoring land/forest cover using the Kalman filter: A proposal.

Czaplewski, Raymond L.; Mcclure, Joe P. 1988. Conditioning a segmented stem profile model for two diameter measurements.

Czaplewski, Raymond L. 1989. Combining inventories of land cover and forest resources with prediction models and remotely sensed data.

Czaplewski, Raymond L. 1990. Kalman filter to update forest cover estimates.

Czaplewski, Raymond L.; Bruce, David. 1990. Retransformation bias in a stem profile model.

Czaplewski, Raymond L. 1991. Kalman filter for statistical monitoring of forest cover across sub-continental regions.

Czaplewski, Raymond L. 1991. Kalman filter for statistical monitoring of forest cover across sub-continental regions.

Czaplewski, Raymond L. 1992. Misclassification bias in areal estimates.

Czaplewski, Raymond L. 1991. Monitoring landscape level processes using remote sensing of large plots.

Czaplewski, Raymond L. 1991. Statistical strategies for global monitoring of tropical forests.

Czaplewski, Raymond L.; Catts, Glenn P. 1992. Calibration of remotely sensed proportion or area estimates for misclassification error.

Czaplewski, Raymond L. 1990. Kalman filter to update forest cover estimates.

Czaplewski, Raymond L. 1994. Strategies for global monitoring of tropical forests.

Czaplewski, R. L. 1996. Continuous adaptive monitoring of status and trends in ecosystem conditions.

Czaplewski, Raymond L. 1999. Multistage remote sensing: toward an annual national inventory.

Czaplewski, Raymond L. 2000. Accuracy assessments and areal estimates using two-phase stratified random sampling, cluster plots, and the multivariate composite estimator.

Czaplewski, R.L. 2003. Can a sample of Landsat sensor scenes reliably estimate the global extent of tropical deforestation?

Czaplewski, Raymond L. 2003. Chapter 5: Accuracy assessment of maps of forest condition: Statistical design and methodological considerations.

Czaplewski, Raymond L.; Patterson, Paul L. 2003. Classification accuracy for stratification with remotely sensed data.

Czaplewski, Raymond L. 2004. Application of Forest Inventory and Analysis (FIA) data to estimate the amount of old growth forest and snag density in the Northern Region of the National Forest System.

Czaplewski, Raymond L. 2006. Resampling remotely sensed data to improve national mapping of forest conditions.

Czaplewski, R. L. 2009. Numerically stable algorithm for combining census and sample estimates with the multivariate composite estimator.

Czaplewski, Raymond L. 2010. Accuracy assessment with complex sampling designs.