Annual design-based estimation for the annualized inventories of forest inventory and analysis: sample size determination
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Fort Collins, Colo.
Rocky Mountain Research Station
2000
|
| Schriftenreihe: | General technical report / USDA Forest Service
66 : RMRS-GTR |
| Schlagwörter: | |
| Abstract: | The Forest Inventory and Analysis units in the USDA Forest Service have been mandated by Congress to go to an annualized inventory where a certain percentage of plots, say 20 percent, will be measured in each State each year. Although this will result in an annual sample size that will be too small for reliable inference for many areas, it is a sufficiently large sample to draw annual inferences for large areas in terms of what is there and how much has changed on an annual basis. This is extremely useful in estimating the state of the forest in the country over time in terms of health, timber supply, and so forth. The formula for estimating sample size required is: [mathematical equation] where s² is the estimated variance for parameter estimates [mathematical equation], and p is the desired level of precision expressed as percent of [symbol] . We conclude that for p = 5 percent, based on sampling 1 ha plots on all National Forests in Oregon and Washington, that a sample size of 9,400 plots with a corresponding area of 22,560,000 ha, about the size of the State of Idaho, is sufficient to draw annual inferences. Alternatively, an area of 1,000,000 ha requires a sample size of 417 plots. Clearly p = 5 percent is a tough specification. If we go to p = 10 percent, which may be adequate for many purposes, we require one-fourth the sample size above, or 2,350 plots representing an area of about 5,640,000 ha, about the size of West Virginia (24,070 square miles). With this specification, a sample of 2,350 plots would give adequate precision. |
| Umfang: | 3 S. |
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| 245 | 1 | 0 | |a Annual design-based estimation for the annualized inventories of forest inventory and analysis |b sample size determination |c Hans T. Schreuder ; Jin-Mann S. Lin ; John Teply |
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| 490 | 1 | |a General technical report / USDA Forest Service |v 66 : RMRS-GTR | |
| 520 | 3 | |a The Forest Inventory and Analysis units in the USDA Forest Service have been mandated by Congress to go to an annualized inventory where a certain percentage of plots, say 20 percent, will be measured in each State each year. Although this will result in an annual sample size that will be too small for reliable inference for many areas, it is a sufficiently large sample to draw annual inferences for large areas in terms of what is there and how much has changed on an annual basis. This is extremely useful in estimating the state of the forest in the country over time in terms of health, timber supply, and so forth. The formula for estimating sample size required is: [mathematical equation] where s² is the estimated variance for parameter estimates [mathematical equation], and p is the desired level of precision expressed as percent of [symbol] . We conclude that for p = 5 percent, based on sampling 1 ha plots on all National Forests in Oregon and Washington, that a sample size of 9,400 plots with a corresponding area of 22,560,000 ha, about the size of the State of Idaho, is sufficient to draw annual inferences. Alternatively, an area of 1,000,000 ha requires a sample size of 417 plots. Clearly p = 5 percent is a tough specification. If we go to p = 10 percent, which may be adequate for many purposes, we require one-fourth the sample size above, or 2,350 plots representing an area of about 5,640,000 ha, about the size of West Virginia (24,070 square miles). With this specification, a sample of 2,350 plots would give adequate precision. | |
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| author | Schreuder, Hans T. Lin, Jin-Mann S. Teply, John |
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| indexdate | 2024-12-20T12:41:07Z |
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| language | English |
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| publisher | Rocky Mountain Research Station |
| record_format | marc |
| series2 | General technical report / USDA Forest Service |
| spellingShingle | Schreuder, Hans T. Lin, Jin-Mann S. Teply, John Annual design-based estimation for the annualized inventories of forest inventory and analysis sample size determination Forest surveys United States Multiple imputation (Statistics) Waldinventur (DE-588)4064394-3 gnd Stichprobenumfang (DE-588)4183251-6 gnd |
| subject_GND | (DE-588)4064394-3 (DE-588)4183251-6 (DE-588)1071861417 |
| title | Annual design-based estimation for the annualized inventories of forest inventory and analysis sample size determination |
| title_auth | Annual design-based estimation for the annualized inventories of forest inventory and analysis sample size determination |
| title_exact_search | Annual design-based estimation for the annualized inventories of forest inventory and analysis sample size determination |
| title_full | Annual design-based estimation for the annualized inventories of forest inventory and analysis sample size determination Hans T. Schreuder ; Jin-Mann S. Lin ; John Teply |
| title_fullStr | Annual design-based estimation for the annualized inventories of forest inventory and analysis sample size determination Hans T. Schreuder ; Jin-Mann S. Lin ; John Teply |
| title_full_unstemmed | Annual design-based estimation for the annualized inventories of forest inventory and analysis sample size determination Hans T. Schreuder ; Jin-Mann S. Lin ; John Teply |
| title_short | Annual design-based estimation for the annualized inventories of forest inventory and analysis |
| title_sort | annual design based estimation for the annualized inventories of forest inventory and analysis sample size determination |
| title_sub | sample size determination |
| topic | Forest surveys United States Multiple imputation (Statistics) Waldinventur (DE-588)4064394-3 gnd Stichprobenumfang (DE-588)4183251-6 gnd |
| topic_facet | Forest surveys United States Multiple imputation (Statistics) Waldinventur Stichprobenumfang USA Konferenzschrift |
| volume_link | (DE-604)BV006660613 |
| work_keys_str_mv | AT schreuderhanst annualdesignbasedestimationfortheannualizedinventoriesofforestinventoryandanalysissamplesizedetermination AT linjinmanns annualdesignbasedestimationfortheannualizedinventoriesofforestinventoryandanalysissamplesizedetermination AT teplyjohn annualdesignbasedestimationfortheannualizedinventoriesofforestinventoryandanalysissamplesizedetermination |
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0027 0006 B 728 Lageplan |
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| Exemplar 1 | Ausleihbar Am Standort |