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Volumn 38, Issue 1, 2011, Pages 47-55

Generating multivariate continuous data via the notion of nearest neighbors

Author keywords

Bootstrap; Density estimation; Nearest neighbors; Random number generation; Simulation

Indexed keywords


EID: 78650052494     PISSN: 02664763     EISSN: 13600532     Source Type: Journal    
DOI: 10.1080/02664760903229260     Document Type: Article
Times cited : (1)

References (15)
  • 1
    • 10944236293 scopus 로고    scopus 로고
    • Simulation-driven inferences for multiply imputed longitudinal datasets
    • H. Demirtas, Simulation-driven inferences for multiply imputed longitudinal datasets, Statist. Neerlandica 58 (2004), pp. 466-482.
    • (2004) Statist. Neerlandica , vol.58 , pp. 466-482
    • Demirtas, H.1
  • 2
    • 23244447184 scopus 로고    scopus 로고
    • Multiple imputation under Bayesianly smoothed pattern-mixture models for non-ignorable drop-out
    • H. Demirtas, Multiple imputation under Bayesianly smoothed pattern-mixture models for non-ignorable drop-out, Stat. Med. 24 (2005), pp. 2345-2363.
    • (2005) Stat. Med. , vol.24 , pp. 2345-2363
    • Demirtas, H.1
  • 3
    • 33846837287 scopus 로고    scopus 로고
    • Gaussianization-based quasi-imputation and expansion strategies for incomplete correlated binary responses
    • H. Demirtas and D. Hedeker, Gaussianization-based quasi-imputation and expansion strategies for incomplete correlated binary responses, Stat. Med. 26 (2007), pp. 782-799.
    • (2007) Stat. Med. , vol.26 , pp. 782-799
    • Demirtas, H.1    Hedeker, D.2
  • 4
    • 0042066687 scopus 로고    scopus 로고
    • On the performance of random-coefficient pattern-mixture models for non-ignorable drop-out
    • H. Demirtas and J.L. Schafer, On the performance of random-coefficient pattern-mixture models for non-ignorable drop-out, Stat. Med. 22 (2003), pp. 2553-2575.
    • (2003) Stat. Med. , vol.22 , pp. 2553-2575
    • Demirtas, H.1    Schafer, J.L.2
  • 6
    • 0002344794 scopus 로고
    • Bootstrap methods: Another look at the jackknife
    • B. Efron, Bootstrap methods: Another look at the jackknife, Ann. Statist. 7 (1979), pp. 1-26.
    • (1979) Ann. Statist. , vol.7 , pp. 1-26
    • Efron, B.1
  • 7
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • R.A. Fisher, The use of multiple measurements in taxonomic problems, Ann. Eugen. 7 (1936), pp. 179-188.
    • (1936) Ann. Eugen. , vol.7 , pp. 179-188
    • Fisher, R.A.1
  • 12
    • 78650065896 scopus 로고    scopus 로고
    • Insightful Corporation, Seattle,WA Available at
    • Insightful Corporation, S-PLUS version 7.2, Seattle,WA, 2007. Available at http://www.insightful.com.
    • (2007) S-PLUS version 7.2
  • 13
    • 35748932852 scopus 로고    scopus 로고
    • R Development Core Team, Foundation for Statistical Computing, Vienna, Austria ISBN 3-900051-07-0. Available at
    • R Development Core Team, R: A Language and Environment for Statistical Computing, Foundation for Statistical Computing, Vienna, Austria, 2007. ISBN 3-900051-07-0. Available at http://www.R-project.org.
    • (2007) R: A Language and Environment for Statistical Computing
  • 15
    • 0043123083 scopus 로고
    • A data based algorithm for the generation of random vectors
    • M.S. Taylor and J.R. Thompson, A data based algorithm for the generation of random vectors, Comput. Statist. Data Anal. 4 (1986), pp. 93-101.
    • (1986) Comput. Statist. Data Anal. , vol.4 , pp. 93-101
    • Taylor, M.S.1    Thompson, J.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.