complex Sample Surveys -- Publication list
Environmetrika Series: Simple Robust Multivariate Estimators for Complex Sample Surveys
- Czaplewski, R.L., 2024. Generalized Multivariate Difference Estimator (GMDe): The Recursive Algorithm (rGMDe). Kindle Direct Publishing ISBN: 979-8874319038
- Czaplewski, R.L., 2023. Generalized Multivariate Difference Estimator (GMDe): The Recursive Algorithm (rGMDe). DOI: 10.13140/RG.2.2.31490.04807. Report number: Environmetrika Technical Report TR 2023-1
- Czaplewski, R.L., 2021a. Generalized Multivariate Difference Estimator (GMDe). Technical Report TR 2021‑2. DOI: 10.13140/RG.2.2.27860.53122
- Czaplewski, R.L., 2021b. Robust Batch and Stepwise Kalman Update Algorithms with Inequality Constraints. Technical Report TR 2021-1
- Czaplewski, R.L., 2020a. A Robust Multivariate Estimator with Stepwise Covariate Selection and Inequality Constraints for Complex Sample Surveys: An Initial Concept Tech. Rep. 2020-1, Environmetrika Series Simple Robust Multivariate Estimators for Complex Sample Surveys, DOI: 10.13140/RG.2.2.17634.07369.
- Czaplewski, R.L., 2020b. Minimum‑Variance Coefficients for the Generalized Multivariate Difference Estimator (GMDe) Tech. Rep. 2020-2, Environmetrika Series: Simple Robust Multivariate Estimators for Complex Sample Surveys, DOI:10.13140/RG.2.2.24999.98727
- Czaplewski, R.L., 2021a. Robust Batch and Stepwise Kalman Update Algorithms with Inequality Constraints Tech. Rep. 2021-1, Environmetrika Series: Simple Robust Multivariate Estimators for Complex Sample Surveys DOI: 10.13140/RG.2.2.34353.51048
- Czaplewski, R.L., 2021b. Generalized Multivariate Difference Estimator (GMDe) Tech. Rep. 2021-2, Environmetrika Series: Simple Robust Multivariate Estimators for Complex Sample Surveys DOI: 10.13140/RG.2.2.27860.53122
- Czaplewski, R.L., in preparation. Recursive Generalized Multivariate Difference Estimator (rGMDe): An Introduction Tech. Rep. 2023-1, Environmetrika Series: Simple Robust Multivariate Estimators for Complex Sample Surveys
- Czaplewski, R.L., in preparation. Recursive Generalized Multivariate Difference Estimator (rGMDe): R-Functions Tech. Rep. 2023-2 Environmetrika Series: Simple Robust Multivariate Estimators for Complex Sample Surveys
Related publications by R.L. Czaplewski, Scientist Emeritus, USDA Forest Service
- Czaplewski, R., 2015. Novel Kalman filter algorithm for statistical monitoring of extensive landscapes with synoptic sensor data. Sensors, 15(9), pp.23589-23617.
- Czaplewski, R.L. and Thompson, M.T., 2013. Model-based time-series analysis of FIA panel data absent re-measurements. Res. Pap. RMRS-RP-102WWW. Fort Collins, CO: US Department of Agriculture, Forest Service, Rocky Mountain Research Station. 13 p., 102.
- Horn, S. and Czaplewski, R., 2013. Combining survey and administrative data using state space models. In In: Proceedings: NTTS-Conference on New Techniques and Technologies for Statistics; Brussels; 5-7 March 2013. Eurostat. doi: 10.2901/Eurostat. C2013. 001.
- Lam, T.Y., Czaplewski, R.L., Yim, J.S., Lee, K.H., Kim, S.H. and Kim, R.H., 2013. Comparison of Kalman filters in combining panel data from the annual inventory system of the South Korea National Forest Inventory. Res. Note RMRS-RN-52. Fort Collins, CO: US Department of Agriculture, Forest Service, Rocky Mountain Research Station. 15 p., 52.
- Czaplewski, R.L., Thompson, M.T. and Moisen, G.G., 2012. An efficient estimator to monitor rapidly changing forest conditions. In 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: US Department of Agriculture, Forest Service, Northern Research Station.[CD-ROM]: 416-420. (pp. 416-420).
- Czaplewski, R.L., 2010. Complex sample survey estimation in static state-space. Gen. Tech. Rep. RMRS-GTR-239. Fort Collins, CO: US Department of Agriculture, Forest Service, Rocky Mountain Research Station. 124 p., 239.
- Czaplewski, R.L., 2010. Recursive restriction estimation: an alternative to post-stratification in surveys of land and forest cover. Res. Pap. RMRS-RP-81. Fort Collins, CO: US Department of Agriculture, Forest Service, Rocky Mountain Research Station. 32 p., 81.
- Czaplewski, R.L., 2010. Accuracy assessment with complex sampling designs. In In: Tate, NJ; Fisher, PF, eds. Proceedings of the Ninth International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences; Accuracy 2010 Symposium; July 20-23; Leicester, UK. Great Britain: University of Leicester, MPG Books Group. p. 174-176. (pp. 174-176).
- Czaplewski, R.L., 2009. Numerically stable algorithm for combining census and sample estimates with the multivariate composite estimator. In In: Finley,(ed.), Proceedings of the Symposium, Extending Forest Inventory and Monitoring Over Space and Time; May 19-22, 2009; Quebec City, Canada. Vienna, Austria: International Union of Forest Research Organizations (IUFRO), Division 4. 5 p. http://blue. for. msu. edu/meeting/proceed. php (August 17, 2009).
- Czaplewski, R. and Thompson, M., 2009. Opportunities to improve monitoring of temporal trends with FIA panel data. In In: McWilliams, Will; Moisen, Gretchen; Czaplewski, Ray, comps. Forest Inventory and Analysis (FIA) Symposium 2008; October 21-23, 2008; Park City, UT. Proc. RMRS-P-56CD. Fort Collins, CO: US Department of Agriculture, Forest Service, Rocky Mountain Research Station. 55 p. (Vol. 56).
- Czaplewski, R.L., 2001. Areal control using generalized least squares as an alternative to stratification. In In: Reams, Gregory A.; McRoberts, Ronald E.; Van Deusen, Paul C., eds. 2001. Proceedings of the second annual Forest Inventory and Analysis symposium; 2000 October 17-18; Salt Lake City, UT. Gen. Tech. Rep. SRS-47. Asheville, NC: US Department of Agriculture, Forest Service, Southern Research Station. pp. 63-65 (pp. 63-65).
- Czaplewski, R.L., 2000. Accuracy assessments and areal estimates using two-phase stratified random sampling, cluster plots, and the multivariate composite estimator. Quantifying spatial uncertainty in natural resources: Theory and applications for GIS and remote sensing, pp.79-100.
- Czaplewski, R.L., 1999. Multistage remote sensing: toward an annual national inventory. Journal of Forestry, 97(12), pp.44-48.
- Spencer, R.D. and Czaplewski, R.L., 1997. National forest inventory in the USA: an outline of the procedure. Australian forestry, 60(1), pp.56-66.
- Czaplewski, R.L., 1996. Continuous adaptive monitoring of status and trends in ecosystem conditions. In In: Sustaining Forests, Sustaining People: Proceedings of the 1995 Society of American Foresters Convention; 1995 October 28-November 1; Portland, ME. SAF-96-01. Bethesda, MD: Society of American Foresters. p. 80-85. (pp. 80-85).
- Czaplewski, R.L., 1991. Kalman filter for statistical monitoring of forest cover across sub-continental regions [Symposium]. In In: 4th Symposium on Biometrical Problems in Agriculture, Forestry and Animal Investigations; 19-21 August, Jokioinen, Finland. Washington, DC: The International Biometric Society. 7 p..
- Czaplewski, R.L., 1990. Kalman filter to update forest cover estimates. In In: LaBau, Vernon J.; Cunia, Tiberius, tech. eds. State-of-the-art methodology of forest inventory: a symposium proceedings. Gen. Tech. Rep. PNW-GTR-263. Portland, OR: US Department of Agriculture, Forest Service, Pacific Northwest Research Station: 457-465. (Vol. 263, pp. 457-465).
- Czaplewski, R.L., 1989. Combining inventories of land cover and forest resources with prediction models and remotely sensed data. In: Lund, H. Gyde; Preto, Giovanni, technical coordinators. Volume 3, Global Natural Resource Monitoring and Assessment: Preparing or the 21st Century. Proceedings of the International Conference and Workshop; September 24-30; Venice, Italy. Bethesda, MD: American Society for Photogrammetry and Remote Sensing. p. 1079-1089. (pp. 1079-1089).
- Czaplewski, R.L., Alig, R.J. and Cost, N.D., 1988. Monitoring land/forest cover using the Kalman filter: A proposal. In: Ek, Alan R.; Shifley, Stephen R.; Burk, Thomas E. Forest growth modelling and prediction: Volume 2. Gen. Tech. Report NC-120. St. Paul, MN: US Dept. of Agriculture, Forest Service, North Central Forest Experiment Station. p. 1089-1096., pp.1089-1096.
- Schreuder, H.T., Snook, P.W., Czaplewski, R.L. and Catts, G.P., 1986. A proposed periodic national inventory of land use land cover change. In In: ASPRS Technical Papers. 1986 ASPRS-ASCM Fall Convention; September 28-October 3; Anchorage, AK. Falls Church, VA: American Society for Photogrammetry and Remote Sensing. p. 255-264. (pp. 255-264).
- Czaplewski, R.L., 1986. Acceptability of the Kalman filter to monitor pronghorn population size. Fort Collins, CO: Colorado State University. 110p. Dissertation.
Technical Reports and Working Papers by Environmetrika
- Czaplewski, R.L., 2017. KFz Algorithm: A Sequential Kalman Filter Estimator for Large State and Measurement Vectors and Rank Deficient Innovation Covariance Matrix. Tech. Rep. 2017-1, Environmetrika, DOI: 10.13140/RG. 2.2. 32002.58565.
- Czaplewski, R.L., 2017. Taming the Kalman Filter: A New Algorithm for Large Vector Estimates in Sample Surveys. Tech. Rep. 2017-2, Environmetrika, DOI: 10.13140/RG.2.2.31163.72481