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Volumn 29, Issue 5, 2013, Pages 399-409

Statistical inference in massive data sets

Author keywords

Internet traffic data; kernel density estimation; remedian

Indexed keywords

ASYMPTOTIC NORMALITY; ASYMPTOTIC PROPERTIES; INTERNET TRAFFIC; KERNEL DENSITY ESTIMATION; MASSIVE DATA SETS; REMEDIAN; SIMULATION STUDIES; STATISTICAL INFERENCE;

EID: 84885584832     PISSN: 15241904     EISSN: 15264025     Source Type: Journal    
DOI: 10.1002/asmb.1927     Document Type: Article
Times cited : (110)

References (15)
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    • On some techniques for streaming data: A case study of Internet packet headers
    • Wegman Edward J, Marchette David J,. On some techniques for streaming data: a case study of Internet packet headers. Journal of Computational and Graphical Statistics. 2003; 12 (4): 893-914.
    • (2003) Journal of Computational and Graphical Statistics , vol.12 , Issue.4 , pp. 893-914
    • Wegman, E.J.1    Marchette, D.J.2
  • 9
    • 33947670426 scopus 로고    scopus 로고
    • Quantile contours and multivariate density estimation for massive datasets via sequential convex hull peeling
    • Mcdermott J, Lin Dennis K J,. Quantile contours and multivariate density estimation for massive datasets via sequential convex hull peeling. IIE Transactions in Quality and Reliability. 2007; 39: 581-591.
    • (2007) IIE Transactions in Quality and Reliability , vol.39 , pp. 581-591
    • McDermott, J.1    Lin, D.K.J.2
  • 15
    • 77957582791 scopus 로고    scopus 로고
    • Differential privacy for statistics: What we know and what we want to learn
    • Dwork C, Smith A,. Differential privacy for statistics: what we know and what we want to learn. Journal of Privacy and Confidentiality. 2009; 1: 135-154.
    • (2009) Journal of Privacy and Confidentiality , vol.1 , pp. 135-154
    • Dwork, C.1    Smith, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.