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Volumn 5249 LNAI, Issue , 2008, Pages 207-216

Fitting a least absolute deviation regression model on interval-valued data

Author keywords

Interval valued data; LAD regression; Symbolic data analysis

Indexed keywords

MEAN SQUARE ERROR; MONTE CARLO METHODS; REGRESSION ANALYSIS;

EID: 57049102450     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88190-2_26     Document Type: Conference Paper
Times cited : (10)

References (6)
  • 1
    • 0004077589 scopus 로고    scopus 로고
    • Exploratory methods for extracting statistical information from complex data. Springer, Heidelberg
    • Bock, H.H., Diday, E.: Analysis of Symbolic Data, Exploratory methods for extracting statistical information from complex data. Springer, Heidelberg (2000)
    • (2000) Analysis of Symbolic Data
    • Bock, H.H.1    Diday, E.2
  • 3
  • 4
    • 0008767220 scopus 로고    scopus 로고
    • Recent advances in quantile regression: A pratical guideline for empirical research
    • Buchinsky, M.: Recent advances in quantile regression: a pratical guideline for empirical research. Journal of Human Resources 33, 88-126 (1997)
    • (1997) Journal of Human Resources , vol.33 , pp. 88-126
    • Buchinsky, M.1
  • 5
    • 35548979016 scopus 로고    scopus 로고
    • Centre and Range method for fitting a linear regression model to symbolic interval data
    • Lima Neto, E.A., De Carvalho, F.A.T.: Centre and Range method for fitting a linear regression model to symbolic interval data. Computational Statistics and Data Analysis 52, 1500-1515 (2008)
    • (2008) Computational Statistics and Data Analysis , vol.52 , pp. 1500-1515
    • Lima Neto, E.A.1    De Carvalho, F.A.T.2
  • 6
    • 0002385180 scopus 로고
    • Mean-absolute-deviation characteristic lines for securities and portfolios
    • Sharpe, W.F.: Mean-absolute-deviation characteristic lines for securities and portfolios. Management Science 18, 1-13 (1971)
    • (1971) Management Science , vol.18 , pp. 1-13
    • Sharpe, W.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.