Skip to main content
SpringerLink
Log in

Simplicity versus efficiency in sampling designs and estimation

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

Simplicity and efficiency in design and estimation are all important in deciding on sampling strategies. A simple model is given and illustrated for four practical situations to show how a good sampling strategy should be selected.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • AFIS: 1993, ‘Problem Analysis for Annual Forest Inventory System (AFIS)’, USDA Forest Service, NC For. Exp. Sta., St. Paul, Minnesota. Unpublished manuscript.

    Google Scholar 

  • Arvanitis, L.G. and Reich, R.M.: 1989, ‘Sampling Simulations With a Microcomputer’, Coenoses 4, 73–80.

    Google Scholar 

  • Basu, D.: 1971, ‘An Essay on the Logical Foundations of Survey Sampling, Part 1’, in V.P. Godambe and D.A. Sprott (Eds.), Foundations of Statistical Inference, Holt, Rinehart, and Winston, NY, pp. 203–242 (includes discussion).

    Google Scholar 

  • Bechtold, W.A., Ruark, G.A., and Lloyd, F.T.: 1991, ‘Changing Stand Structure and Regional Growth Reductions in Georgia's Natural Pine Stands’, For. Sci. 37, 703–717.

    Google Scholar 

  • Birdsey, R.A. and Schreuder, H.T.: 1992, ‘An Overview of Forest Inventory and Analysis Estimation Procedures in the Eastern U.S. — With an Emphasis on Components of Change’, USDA Forest Service, RM Techn. Rep. RM-214, 11 pp.

  • Breiman, L., Friedman, J.A., Oshen, R.A. and Stone, C.J.: 1984, Classification and Regression Trees, Wadsworth Intern. Group, Wadsworth, Inc., Belmont, CA, 358 pp.

    Google Scholar 

  • Brink, G.B. and Schreuder, H.T.: 1992, ‘Onephase: A Simulation Program to Compare 1-phase Sampling Strategies’, USDA Forest Service, RM For. and Range Exp. Stat. Res. Pap. RM-302, 8 pp.

  • Czaplewski, R., and Kastner, W.: 1986, ‘Developing a Dichotomous Photointerpretation Key Using Ancillary Photo-Data and a Numerical Distribution-free Classifier’, Proc. Use of Auxiliary Information in Natural Resource Inventories, Oct. 1–2, 1985, Blacksburg, VA. Soc. Amer. For. Publ. No. SAF 86-01, pp. 124–134.

  • Grosenbaugh, L.R.: 1971, ‘STX 1-11-71 for Dendrometry of Multistage 3P Samples’, USDA For. Serv. Publ. FS-277, 63 pp.

  • Hahn, J.T., MacLean, C.D., Arner, S.L., and Bechtold, W.A.: 1995, ‘Procedures to Handle Inventory Cluster Plots that Straddle Two or More Conditions’, For. Sci. Monograph (in press).

  • LaBau, V.J. and Schreuder, H.T.: 1983, ‘A Multi-Phase Multiresource Inventory Procedure for Assessing Renewable Natural Resources and Monitoring Change’, Renewable Resources Inventories for Monitoring Changes and Trends August 1983, Corvallis, Oregon. Soc. Amer. For. Publ. No. 83-14, pp. 456–457.

  • Li, H.G., Schreuder, H.T. and Scott, C.T.: 1990, ‘Combining Estimates that Are both in Error Subject to Marginal Constraints’, Can. J. For. Res. 20, 1675–1679.

    Google Scholar 

  • Ouyang, Z., Schreuder, H.T. and Li, J.: 1992, ‘A Re-Evaluation of the Growth Decline in Georgia and Georgia-Alabama’, Proc. Applied Statistics in Agriculture, April 28–30, 1991, Kansas State Univ. Manhattan, KS, pp. 54–61.

    Google Scholar 

  • Ruark, G.A., Thomas, C.E., Bechtold, W.A., and May, D.M.: 1991, ‘Growth Reductions in Naturally Regenerated Southern Pine Stands in Alabama and Georgia’, South. J. Appl. For. 15, 73–79.

    Google Scholar 

  • Schreuder, H.T. and Czaplewski, R.L.: 1992, ‘Long-Term Strategy for the Statistical Design of a Forest Health Monitoring System’, Env. Mon. Assess. 27, 81–94.

    Google Scholar 

  • Schreuder, H.T. and Thomas, C.E.: 1991, ‘Establishing Cause-Effect Relationships Using Forest Survey Data’, For. Sci. 37, 1497–1525 (includes discussion).

    Google Scholar 

  • Schreuder, H.T., Gregoire, T.G. and Wood, G.: 1993, Sampling Methods for Multiresource Forest Inventory, John Wiley & Sons, NY, 446 pp.

    Google Scholar 

  • Schreuder, H.T., Li, H.G., Ryan, M.G. and Scott, C.T.: 1988, ‘Adjusting Estimates in Two-Way Tables by Incorporating Outside Information’, Can. J. For. Res. 18, 1280–1285.

    Google Scholar 

  • Scott, C.T. and Köhl, M.: 1993, ‘A Method of Comparing Sampling Design Alternatives for Extensive Inventories’, Mitt. Eidgenöss. Forsch. anst. Wald Schnee Landsch. 68(1), 62 pp.

  • Swindel, B.F. and Yandle, D.O.: 1972, ‘Allocation in Stratified Sampling as a Game’, J. Amer. Stat. Assoc. 67, 684–686.

    Google Scholar 

  • Williams, M.S. and Schreuder, H.T.: 1994, ‘Documentation and Evaluation of Growth and Other Estimators for the Mapped Design Used by FIA: A Simulation Study’, For. Sci. (submitted).

  • Wood, G.B. and Wiant, H.V.: 1992, ‘Comparison of Point-3P and Modified Point-List Sampling for Inventory of Mature Native Hardwood Forest in Southeastern New South Wales’, Can. J. For. Res. 22, 725–728.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Rocky Mountain Forest and Range Experiment Station, USDA Forest Service, 240 West Prospect Road, 80526, Fort Collins, CO, USA

    H. T. Schreuder

Authors
  1. H. T. Schreuder
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

The U.S. Government right to retain a non-exclusive, royalty free licence in and to any copyright is acknowledged.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Schreuder, H.T. Simplicity versus efficiency in sampling designs and estimation. Environ Monit Assess 33, 237–245 (1994). https://doi.org/10.1007/BF00547064

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00547064

Keywords

Search

Navigation