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Volumn 37, Issue 11, 2007, Pages 2242-2249

Estimating optimum sampling size to determine weighted core specific gravity of planted loblolly pine

Author keywords

[No Author keywords available]

Indexed keywords

COST EFFECTIVENESS; ERROR ANALYSIS;

EID: 38849202574     PISSN: 00455067     EISSN: None     Source Type: Journal    
DOI: 10.1139/X07-085     Document Type: Article
Times cited : (8)

References (15)
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  • 2
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    • The estimation of an optimum subsampling number
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    • Brooks, S.H. 1955. The estimation of an optimum subsampling number. J. Am. Stat. Assoc. 50: 398-415. doi:10.2307/2280969.
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  • 3
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    • Use of variance components in preparing schedules for the sampling of baled wool
    • Cameron, J.M. 1951. Use of variance components in preparing schedules for the sampling of baled wool. Biometrics, 7: 83-96.
    • (1951) Biometrics , vol.7 , pp. 83-96
    • Cameron, J.M.1
  • 4
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    • Using variance components and cost analysis to improve sampling efficiency in wood density surveys
    • Clark, A., and Ike, A. 1970. Using variance components and cost analysis to improve sampling efficiency in wood density surveys. Tappi, 53: 295-299.
    • (1970) Tappi , vol.53 , pp. 295-299
    • Clark, A.1    Ike, A.2
  • 5
    • 0000383430 scopus 로고    scopus 로고
    • Determining sample sizes for surveys with data analyzed by hierarchical linear models
    • Cohen, M.P. 1998. Determining sample sizes for surveys with data analyzed by hierarchical linear models. J. Off. Stat. 14: 267-275.
    • (1998) J. Off. Stat , vol.14 , pp. 267-275
    • Cohen, M.P.1
  • 6
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    • Utilization of the southern pines
    • Koch, P. 1972. Utilization of the southern pines. USDA Agric. Handb. 420. pp. 235-260.
    • (1972) USDA Agric. Handb , vol.420 , pp. 235-260
    • Koch, P.1
  • 7
    • 0004550988 scopus 로고
    • Optimum allocation and variance components in nested sampling with and application to chemical analysis
    • doi:10.2307/3001935
    • Marcuse, S. 1949. Optimum allocation and variance components in nested sampling with and application to chemical analysis. Biometrics, 5: 189-206. doi:10.2307/3001935.
    • (1949) Biometrics , vol.5 , pp. 189-206
    • Marcuse, S.1
  • 9
    • 33747449266 scopus 로고    scopus 로고
    • Density assessment of radiate pine: Sampling strategy revisited
    • doi:10.1515/HF. 2006.096
    • Raymond, C. 2006. Density assessment of radiate pine: sampling strategy revisited. Holzforschung, 60: 580-582. doi:10.1515/HF. 2006.096.
    • (2006) Holzforschung , vol.60 , pp. 580-582
    • Raymond, C.1
  • 10
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    • SAS Institute Inc. 2000-2004. SAS. Version 9.1.3. Help and documentation. SAS Institute Inc, Cary, N.C
    • SAS Institute Inc. 2000-2004. SAS. Version 9.1.3. Help and documentation. SAS Institute Inc., Cary, N.C.
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    • Optimum allocation in multivariate, two-stage sampling designs
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    • Waters, J.R., and Chester, A.J. 1987. Optimum allocation in multivariate, two-stage sampling designs. Am. Stat. 41: 46-50. doi:10.2307/2684319.
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  • 12
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    • Zarnoch, S., Marx, D., Ruehle, J., and Baldwin, V. 1993. Sampling open-top chambers and stands for live fine-root biomass of loblolly pine. USDA For. Serv. Southeast. For. Exp. Stn. Res. Note SE-368.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.