An estimation method to reduce complete and partial nonresponse bias in forest inventory
Author:
Publisher
Springer Science and Business Media LLC
Subject
Plant Science,Forestry
Link
https://link.springer.com/content/pdf/10.1007/s10342-022-01480-6.pdf
Reference12 articles.
1. Cochran WG (1977) Sampling techniques. John Wiley & Sons, New York
2. Domke GM, Woodall CW, Walters BF, McRoberts RE, Hatfield MA (2014) Strategies to compensate for the effects of nonresponse on forest carbon baseline estimates from the national forest inventory of the United States. For Ecol Manage 315:112–120
3. Goeking SA, Patterson PL (2013) Stratifying to reduce bias caused by high nonresponse rates: A case study from New Mexico’s forest inventory. Res. Note RMRS-RN-59. USDA, Forest Service, Rocky Mountain Research Station, Fort Collins, CO
4. Gormanson DD, Pugh SA, Barnett CJ, Miles PD, Morin RS, Sowers PA, Westfall, JA (2018) Statistics and quality assurance for the Northern Research Station Forest Inventory and Analysis program. Gen. Tech. Rep. NRS-178. USDA, Forest Service, Northern Research Station, Newtown Square, PA
5. Magnussen S, Stinson G, Boudewyn P (2017) Updating Canada’s national forest inventory with multiple imputations of missing contemporary data. For Chron 93(3):213–225
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