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Accuracy Testing and Estimation Alternatives

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The relation between the Freese (1960) accuracy test and the related test proposed by Reynolds (1984) is examined and a three-way decision rule is recommended as a circumspect alternative to the accept/reject decision rule commonly employed. Further alternatives are proposed in the form of point and interval estimates for parameters of the error distribution under scrutiny. The effect of bias correction on the test procedures and estimators is analyzed and simulated. Conditional bias correction following a pretest is shown to behave equivalently to unconditional bias correction when sample size is not too small. When errors are nonnormal, all tests and estimators degrade considerably, and the problem becomes severe for large sample sizes. For. Sci. 34(2):302-320.

Keywords: Prediction error; bias correction; critical error; interval estimation

Document Type: Journal Article

Affiliations: Associate Professor, Department of Forestry and Statistics, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061

Publication date: June 1, 1988

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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