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Volumn 4302, Issue , 2006, Pages 347-359

Software development for SDC in R

Author keywords

[No Author keywords available]

Indexed keywords

LINEAR PROGRAMMING;

EID: 84951188791     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11930242_29     Document Type: Conference Paper
Times cited : (7)

References (42)
  • 1
    • 84958996549 scopus 로고    scopus 로고
    • Micro-aggregation - the small aggregates method
    • Luxembourg: Eurostat
    • [1]. N. Anwar. Micro-aggregation - the small aggregates method. In Internal report. Luxembourg: Eurostat, 1993.
    • Internal Report , pp. 1993
    • Anwar, N.1
  • 6
    • 18744376591 scopus 로고    scopus 로고
    • High breakdown estimators for principal components: The projection-pursuit approach revisited
    • [6]. C. Croux and A. Ruiz-Gazen. High breakdown estimators for principal components: the projection-pursuit approach revisited. Journal of Multivariate Analysis, 95:206-226, 2005.
    • (2005) Journal of Multivariate Analysis , vol.95 , pp. 206-226
    • Croux, C.1    Ruiz-Gazen, A.2
  • 8
    • 0040425984 scopus 로고    scopus 로고
    • Masking microdata using micro-aggregation
    • [8]. D. Defays and Anwar M.N. Masking microdata using micro-aggregation. Journal of Official Statistics, 14(4):449-461, 1998.
    • (1998) Journal of Official Statistics , vol.14 , Issue.4 , pp. 449-461
    • Defays, D.1    Anwar, M.N.2
  • 10
  • 13
    • 33845583557 scopus 로고    scopus 로고
    • A multivariate outlier detection method
    • In S. Aivazian, P. Filzmoser, and Y. Kharin, editors, Belarusian State University, Minsk
    • [13]. P. Filmoser. A multivariate outlier detection method. In S. Aivazian, P. Filzmoser, and Y. Kharin, editors, Proceedings of the Seventh International Conference on Computer Data Analysis and Modeling, volume 1, pages 18-22. Belarusian State University, Minsk, 2004.
    • (2004) Proceedings of the Seventh International Conference on Computer Data Analysis and Modeling , vol.1 , pp. 18-22
    • Filmoser, P.1
  • 14
    • 0032839169 scopus 로고    scopus 로고
    • Robust principal component and factor analysis in the geostatistical treatment of environmental data
    • [14]. P. Filzmoser. Robust principal component and factor analysis in the geostatistical treatment of environmental data. Environmetrics, 10:363-375, 1999.
    • (1999) Environmetrics , vol.10 , pp. 363-375
    • Filzmoser, P.1
  • 15
    • 0032269108 scopus 로고    scopus 로고
    • How many clusters? Which clustering method? answers via model-based cluster analysis
    • [15]. C. Fraley and A.E. Raftery. How many clusters? which clustering method? answers via model-based cluster analysis. The Computer Journal, 41(8):578-588, 1998.
    • (1998) The Computer Journal , vol.41 , Issue.8 , pp. 578-588
    • Fraley, C.1    Raftery, A.E.2
  • 16
    • 77956887176 scopus 로고
    • The biplot graphic display of matrices with application to principal component analysis
    • [16]. K.R. Gabriel. The biplot graphic display of matrices with application to principal component analysis. Biometrika, 58(3):453-467, 1971.
    • (1971) Biometrika , vol.58 , Issue.3 , pp. 453-467
    • Gabriel, K.R.1
  • 18
    • 0000263797 scopus 로고
    • Projection pursuit
    • [18]. P.J. Huber. Projection pursuit. Ann. Statist., 13:435-525, 1985.
    • (1985) Ann. Statist , vol.13 , pp. 435-525
    • Huber, P.J.1
  • 19
    • 84944220953 scopus 로고    scopus 로고
    • Simple and robust estimators for sampling
    • American Statistical Association
    • [19]. B. Hulliger. Simple and robust estimators for sampling. In Proceedings of the Survey Research Methods Section, pages 54-63. American Statistical Association, 1999.
    • (1999) Proceedings of the Survey Research Methods Section , pp. 54-63
    • Hulliger, B.1
  • 23
    • 84933516758 scopus 로고
    • A distribution-free approach to inducing rank correlation among input variables
    • [23]. R.L. Iman and W.J. Conover. A distribution-free approach to inducing rank correlation among input variables. Communications in Statistics, B11:311-334, 1982.
    • (1982) Communications in Statistics , vol.B11 , pp. 311-334
    • Iman, R.L.1    Conover, W.J.2
  • 24
    • 0002956175 scopus 로고
    • A method for limiting disclosure in microdata based on random noise and transformation
    • American Statistical Association
    • [24]. J.J. Kim. A method for limiting disclosure in microdata based on random noise and transformation. In Proceedings of the Section on Survey Research Methods, pages 303-308. American Statistical Association, 1986.
    • (1986) Proceedings of the Section on Survey Research Methods , pp. 303-308
    • Kim, J.J.1
  • 25
    • 0002640563 scopus 로고
    • AndW.E.Winkler. Masking microdata files
    • American Statistical Association
    • [25]. J.J. Kim andW.E.Winkler. Masking microdata files. In Proceedings of the Section on Survey Research Methods, pages 114-119. American Statistical Association, 1995.
    • (1995) Proceedings of the Section on Survey Research Methods , pp. 114-119
    • Kim, J.J.1
  • 26
    • 0242529706 scopus 로고    scopus 로고
    • Dynamic generation of statistical reports using literate data analysis
    • Wolfgang Härdle and Bernd Rönz, editors, Physica Verlag, Heidelberg,3-7908-1517-9
    • [26]. F. Leisch. Sweave: Dynamic generation of statistical reports using literate data analysis. In Wolfgang Härdle and Bernd Rönz, editors, Compstat 2002 — Proceedings in Computational Statistics, pages 575-580. Physica Verlag, Heidelberg, 2002. ISBN 3-7908-1517-9.
    • (2002) Compstat 2002 — Proceedings in Computational Statistics , pp. 575-580
    • Sweave, F.L.1
  • 27
    • 84969381275 scopus 로고    scopus 로고
    • Part I: Mixing R andLATEX
    • [27]. F. Leisch. Sweave, part I: Mixing R and LATEX. R News, 2(3):28-31, December 2002.
    • (2002) R News , vol.2 , Issue.3 , pp. 28-31
    • Sweave, F.L.1
  • 28
    • 20444458948 scopus 로고    scopus 로고
    • Reproducible statistical research
    • [28]. F. Leisch and A.J. Rossini. Reproducible statistical research. Chance, 16(2):46-50, 2003.
    • (2003) Chance , vol.16 , Issue.2 , pp. 46-50
    • Leisch, F.1    Rossini, A.J.2
  • 29
    • 0001337027 scopus 로고
    • Projection-pursuit approach to robust dispersion matrices and principal components: Primary theory and monte carlo
    • [29]. G. Li and Z. Chen. Projection-pursuit approach to robust dispersion matrices and principal components: primary theory and monte carlo. J. Amer. Statist. Ass., 80:759-766, 1985.
    • (1985) J. Amer. Statist. Ass , vol.80 , pp. 759-766
    • Li, G.1    Chen, Z.2
  • 30
    • 0002063041 scopus 로고
    • Robust m-estimators of multivariate location and scatter
    • [30]. R.A. Maronna. Robust m-estimators of multivariate location and scatter. The Annals of Statistics, 4(1):51-67, 1976.
    • (1976) The Annals of Statistics , vol.4 , Issue.1 , pp. 51-67
    • Maronna, R.A.1
  • 31
    • 0036849459 scopus 로고    scopus 로고
    • Robust multivariate estimates for highdimensional datasets
    • [31]. R.A. Maronna and R.H. Zamar. Robust multivariate estimates for highdimensional datasets. Technometrics, 44:307-317, 2002.
    • (2002) Technometrics , vol.44 , pp. 307-317
    • Maronna, R.A.1    Zamar, R.H.2
  • 33
    • 0000325341 scopus 로고
    • On lines and planes of closest fit to systems of points in space
    • [33]. K. Pearson. On lines and planes of closest fit to systems of points in space. Philosophical Magazine, 6(2):559-572, 1901.
    • (1901) Philosophical Magazine , vol.6 , Issue.2 , pp. 559-572
    • Pearson, K.1
  • 35
    • 84855199947 scopus 로고    scopus 로고
    • R Development Core Team. R, R Foundation for Statistical Computing, Vienna, Austria, 3-900051-07-0
    • [35]. R Development Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, 2006. ISBN 3-900051-07-0.
    • (2006) A Language and Environment for Statistical Computing
  • 37
    • 0002564033 scopus 로고
    • Multivariate estimation with high breakdown point
    • Akademiai Kiado, Budapest
    • [37]. P. Rousseeuw. Multivariate estimation with high breakdown point. In Mathematical Statistics and Applications, pages 283-297. Akademiai Kiado, Budapest, 1985.
    • (1985) Mathematical Statistics and Applications , pp. 283-297
    • Rousseeuw, P.1
  • 40
    • 0023349730 scopus 로고
    • Large sample properties of simulations using latin hypercube sampling
    • [40]. M.L. Stein. Large sample properties of simulations using latin hypercube sampling. Technometrics, 29:143-151, 1987.
    • (1987) Technometrics , vol.29 , pp. 143-151
    • Stein, M.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.