메뉴 건너뛰기




Volumn 115, Issue 12, 2011, Pages 3165-3174

Parametric, bootstrap, and jackknife variance estimators for the k-Nearest Neighbors technique with illustrations using forest inventory and satellite image data

Author keywords

Cluster sampling; Model based inference

Indexed keywords

BOOTSTRAP RESAMPLING; CLUSTER SAMPLING; COMPUTATIONAL INTENSITY; FINLAND; FOREST INVENTORY; JACK-KNIFE METHOD; K-NEAREST NEIGHBORS; LANDSAT; MODEL-BASED INFERENCE; NEAREST NEIGHBOR TECHNIQUE; NEAREST NEIGHBORS TECHNIQUES; PARAMETRIC APPROACH; RESAMPLING; RESAMPLING METHOD; SATELLITE IMAGE DATAS; STANDARD ERRORS; VARIANCE ESTIMATE; VARIANCE ESTIMATION; VARIANCE ESTIMATORS;

EID: 81355138597     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2011.07.002     Document Type: Article
Times cited : (48)

References (45)
  • 2
    • 58249132746 scopus 로고    scopus 로고
    • Design-based approach to k-nearest neighbours technique for coupling field and remotely sensed data in forest surveys
    • Baffetta F., Fattorini L., Franeschi S., Corona P. Design-based approach to k-nearest neighbours technique for coupling field and remotely sensed data in forest surveys. Remote Sensing of Environment 2009, 113(3):463-475.
    • (2009) Remote Sensing of Environment , vol.113 , Issue.3 , pp. 463-475
    • Baffetta, F.1    Fattorini, L.2    Franeschi, S.3    Corona, P.4
  • 3
    • 24944459669 scopus 로고    scopus 로고
    • The Enhanced Forest Inventory and Analysis program - National sampling design and estimation procedures
    • U.S. Department of Agriculture, Forest Service, Southern Research Station, Asheville, NC W.A. Bechtold, P.L. Patterson (Eds.)
    • The Enhanced Forest Inventory and Analysis program - National sampling design and estimation procedures. General technical report SRS-80 2005, U.S. Department of Agriculture, Forest Service, Southern Research Station, Asheville, NC, 85 p. W.A. Bechtold, P.L. Patterson (Eds.).
    • (2005) General technical report SRS-80 , pp. 85
  • 4
    • 77955723807 scopus 로고    scopus 로고
    • Robust sample survey inference via bootstrapping and bias correction: The case of the ratio estimator. Southampton, UK, Southampton Statistical Sciences Research Institute, 21pp.
    • (S3RI Methodology Working Papers, M03/13) Available at:, (last acc
    • Chambers, R.L., & Dorfman, A.H. (2003). Robust sample survey inference via bootstrapping and bias correction: The case of the ratio estimator. Southampton, UK, Southampton Statistical Sciences Research Institute, 21pp. (S3RI Methodology Working Papers, M03/13) http://eprints.soton.ac.uk/8163/. Available at: http://eprints.soton.ac.uk/8163/01/s3ri-workingpaper-m03-13.pdf. (last accessed: January 2011).
    • (2003)
    • Chambers, R.L.1    Dorfman, A.H.2
  • 5
    • 1842665177 scopus 로고    scopus 로고
    • Jackknife variance estimation for nearest neighbour imputation
    • Chen J., Shao J. Jackknife variance estimation for nearest neighbour imputation. Journal of the American Statistical Association 2001, 96(453):260-269.
    • (2001) Journal of the American Statistical Association , vol.96 , Issue.453 , pp. 260-269
    • Chen, J.1    Shao, J.2
  • 6
    • 41249102587 scopus 로고    scopus 로고
    • Non-parametric and parametric methods using satellite imagery for estimating growing stock volume in alpine and Mediterranean forest ecosystems
    • Chirici G., Barbati A., Corona P., Marchetti M., Travaglini D., Maselli F., Bertini R. Non-parametric and parametric methods using satellite imagery for estimating growing stock volume in alpine and Mediterranean forest ecosystems. Remote Sensing of Environment 2008, 112:2686-2700.
    • (2008) Remote Sensing of Environment , vol.112 , pp. 2686-2700
    • Chirici, G.1    Barbati, A.2    Corona, P.3    Marchetti, M.4    Travaglini, D.5    Maselli, F.6    Bertini, R.7
  • 7
  • 9
    • 0002344794 scopus 로고
    • Bootstrap methods: another look at the jackknife
    • Efron B. Bootstrap methods: another look at the jackknife. The Annals of Statistics 1979, 7(1):1-26.
    • (1979) The Annals of Statistics , vol.7 , Issue.1 , pp. 1-26
    • Efron, B.1
  • 10
    • 0001077032 scopus 로고
    • Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods
    • Efron B. Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods. Biometrika 1981, 68:589-599.
    • (1981) Biometrika , vol.68 , pp. 589-599
    • Efron, B.1
  • 14
    • 40549083469 scopus 로고    scopus 로고
    • Efficient k-nearest neighbor searches for multi-source forest attribute mapping
    • Finley A.O., McRoberts R.E. Efficient k-nearest neighbor searches for multi-source forest attribute mapping. Remote Sensing of Environment 2008, 112:2203-2211.
    • (2008) Remote Sensing of Environment , vol.112 , pp. 2203-2211
    • Finley, A.O.1    McRoberts, R.E.2
  • 15
    • 33646201992 scopus 로고    scopus 로고
    • Applying an efficient k-Nearest Neighbor search to forest attribute imputation
    • Finley A.O., McRoberts R.E., Ek A.R. Applying an efficient k-Nearest Neighbor search to forest attribute imputation. Forest Science 2006, 52(2):130135.
    • (2006) Forest Science , vol.52 , Issue.2 , pp. 130135
    • Finley, A.O.1    McRoberts, R.E.2    Ek, A.R.3
  • 17
    • 0017242348 scopus 로고
    • The tasseled cap - A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat
    • Purdue University, West Lafayette, IN
    • Kauth R.J., Thomas G.S. The tasseled cap - A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat. Proceedings of the symposium on machine processing of remotely sensed data 1976, 41-51. Purdue University, West Lafayette, IN.
    • (1976) Proceedings of the symposium on machine processing of remotely sensed data , pp. 41-51
    • Kauth, R.J.1    Thomas, G.S.2
  • 18
    • 18044374299 scopus 로고    scopus 로고
    • Comparison of nearest neighbor methods for estimating basal area and stems per hectare using aerial auxiliary variables
    • LeMay V., Temesgen H. Comparison of nearest neighbor methods for estimating basal area and stems per hectare using aerial auxiliary variables. Forest Science 2005, 51:109-119.
    • (2005) Forest Science , vol.51 , pp. 109-119
    • LeMay, V.1    Temesgen, H.2
  • 20
    • 58249141434 scopus 로고    scopus 로고
    • Model-based mean square error estimators for k-nearest neighbour predictions and applications using remotely sensed data for forest inventories
    • Magnussen S., McRoberts R.E., Tomppo E.O. Model-based mean square error estimators for k-nearest neighbour predictions and applications using remotely sensed data for forest inventories. Remote Sensing of Environment 2009, 113:476-488.
    • (2009) Remote Sensing of Environment , vol.113 , pp. 476-488
    • Magnussen, S.1    McRoberts, R.E.2    Tomppo, E.O.3
  • 23
    • 0346925709 scopus 로고    scopus 로고
    • Re-sampling and exchangeable arrays
    • McCullagh P. Re-sampling and exchangeable arrays. Bernoulli 2000, 6:285-301.
    • (2000) Bernoulli , vol.6 , pp. 285-301
    • McCullagh, P.1
  • 24
    • 58249142084 scopus 로고    scopus 로고
    • Diagnostic tools for nearest neighbors techniques when used with satellite imagery
    • McRoberts R.E. Diagnostic tools for nearest neighbors techniques when used with satellite imagery. Remote Sensing of Environment 2009, 113:489-499.
    • (2009) Remote Sensing of Environment , vol.113 , pp. 489-499
    • McRoberts, R.E.1
  • 25
    • 58249131744 scopus 로고    scopus 로고
    • A two-step nearest neighbors algorithm using satellite imagery for predicting forest structure within species composition classes
    • McRoberts R.E. A two-step nearest neighbors algorithm using satellite imagery for predicting forest structure within species composition classes. Remote Sensing of Environment 2009, 113:532-545.
    • (2009) Remote Sensing of Environment , vol.113 , pp. 532-545
    • McRoberts, R.E.1
  • 26
    • 76049127350 scopus 로고    scopus 로고
    • Probability- and model-based approaches to inference for proportion forest using satellite imagery as ancillary data
    • McRoberts R.E. Probability- and model-based approaches to inference for proportion forest using satellite imagery as ancillary data. Remote Sensing of Environment 2010, 114:1017-1025.
    • (2010) Remote Sensing of Environment , vol.114 , pp. 1017-1025
    • McRoberts, R.E.1
  • 27
    • 0036789610 scopus 로고    scopus 로고
    • Stratified estimation of forest area using satellite imagery, inventory data, and the k-Nearest Neighbors technique
    • McRoberts R.E., Nelson M.D., Wendt D.G. Stratified estimation of forest area using satellite imagery, inventory data, and the k-Nearest Neighbors technique. Remote Sensing of Environment 2002, 82:457-468.
    • (2002) Remote Sensing of Environment , vol.82 , pp. 457-468
    • McRoberts, R.E.1    Nelson, M.D.2    Wendt, D.G.3
  • 29
    • 35548938953 scopus 로고    scopus 로고
    • Estimating areal means and variances using the k-Nearest Neighbors technique and satellite imagery
    • McRoberts R.E., Tomppo E.O., Finley A.O., Heikkinen J. Estimating areal means and variances using the k-Nearest Neighbors technique and satellite imagery. Remote Sensing of Environment 2007, 111:466-480.
    • (2007) Remote Sensing of Environment , vol.111 , pp. 466-480
    • McRoberts, R.E.1    Tomppo, E.O.2    Finley, A.O.3    Heikkinen, J.4
  • 30
    • 27344442874 scopus 로고    scopus 로고
    • The enhanced Forest Inventory and Analysis program of the USDA Forest Service: Historical perspective and announcement of statistical documentation
    • McRoberts R.E., Bechtold W.A.B., Patterson P.L., Scott C.T., Reams G.A. The enhanced Forest Inventory and Analysis program of the USDA Forest Service: Historical perspective and announcement of statistical documentation. Journal of Forestry 2005, 103:304-308.
    • (2005) Journal of Forestry , vol.103 , pp. 304-308
    • McRoberts, R.E.1    Bechtold, W.A.B.2    Patterson, P.L.3    Scott, C.T.4    Reams, G.A.5
  • 31
    • 0000256443 scopus 로고
    • Most similar neighbor - An improved sampling inference procedure for natural resource planning
    • Moeur M., Stage A.R. Most similar neighbor - An improved sampling inference procedure for natural resource planning. Forest Science 1995, 41(2):337-359.
    • (1995) Forest Science , vol.41 , Issue.2 , pp. 337-359
    • Moeur, M.1    Stage, A.R.2
  • 33
    • 0036229447 scopus 로고    scopus 로고
    • Predictive mapping of forest composition and structure with direct gradient analysis and nearest neighbor imputation in coastal Oregon, U.S.A
    • Ohmann J.L., Gregory M.J. Predictive mapping of forest composition and structure with direct gradient analysis and nearest neighbor imputation in coastal Oregon, U.S.A. Canadian Journal of Forest Research 2002, 32:725-741.
    • (2002) Canadian Journal of Forest Research , vol.32 , pp. 725-741
    • Ohmann, J.L.1    Gregory, M.J.2
  • 35
    • 81355145265 scopus 로고    scopus 로고
    • Jackknife and bootstrap methods for small area estimation
    • Available at, (last accessed: April 2011)
    • Rao J.N.K. Jackknife and bootstrap methods for small area estimation. Proceedings of the survey research methods section, American Statistical Association 2007, Available at, (last accessed: April 2011). http://www.amstat.org/Sections/Srms/Proceedings/y2007/Files/JSM2007-000358.pdf.
    • (2007) Proceedings of the survey research methods section, American Statistical Association
    • Rao, J.N.K.1
  • 39
    • 3342921985 scopus 로고    scopus 로고
    • Resampling methods in sample surveys
    • Shao J. Resampling methods in sample surveys. Statistics 1996, 27:203-254.
    • (1996) Statistics , vol.27 , pp. 203-254
    • Shao, J.1
  • 42
    • 0042727437 scopus 로고    scopus 로고
    • Ideal bootstrap estimation of expected prediction error for k-nearest neighbor classifiers: Applications for classification and error assessment
    • Steele B.M., Patterson D.A. Ideal bootstrap estimation of expected prediction error for k-nearest neighbor classifiers: Applications for classification and error assessment. Statistics and Computing 2000, 10:349-355.
    • (2000) Statistics and Computing , vol.10 , pp. 349-355
    • Steele, B.M.1    Patterson, D.A.2
  • 43
    • 3242666106 scopus 로고    scopus 로고
    • Using coarse scale forest variables as ancillary information and weighting of variables in k-NN estimation: A genetic algorithm approach
    • Tomppo E., Halme M. Using coarse scale forest variables as ancillary information and weighting of variables in k-NN estimation: A genetic algorithm approach. Remote Sensing of Environment 2004, 92:1-20.
    • (2004) Remote Sensing of Environment , vol.92 , pp. 1-20
    • Tomppo, E.1    Halme, M.2
  • 44
    • 58249137246 scopus 로고    scopus 로고
    • Predicting categorical forest variables using an improved k-Nearest Neighbour estimator and Landsat imagery
    • Tomppo E.O., Gagliano C., De Natale F., Katila M., McRoberts R.E. Predicting categorical forest variables using an improved k-Nearest Neighbour estimator and Landsat imagery. Remote Sensing of Environment 2009, 113:500-517.
    • (2009) Remote Sensing of Environment , vol.113 , pp. 500-517
    • Tomppo, E.O.1    Gagliano, C.2    De Natale, F.3    Katila, M.4    Mcroberts, R.E.5
  • 45
    • 0001617782 scopus 로고
    • Bias and confidence in not quite large samples
    • Tukey J. Bias and confidence in not quite large samples. Annals of Mathematical Statistics 1958, 29:614.
    • (1958) Annals of Mathematical Statistics , vol.29 , pp. 614
    • Tukey, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.