메뉴 건너뛰기




Volumn 11, Issue 2, 2011, Pages 34-40

On the possibilistic approach to linear regression with rounded or interval-censored Data

Author keywords

inexact data; interval censored data; Linear regression; rounding

Indexed keywords


EID: 79958089470     PISSN: 13358871     EISSN: None     Source Type: Journal    
DOI: 10.2478/v10048-011-0007-0     Document Type: Article
Times cited : (16)

References (32)
  • 3
    • 0009285175 scopus 로고    scopus 로고
    • Fuzzy regression analysis by quadratic programming reflecting central tendency
    • Lee, H., Tanaka, H. (1998). Fuzzy regression analysis by quadratic programming reflecting central tendency. Behaviormetrika 25 (1), 65-80.
    • (1998) Behaviormetrika , vol.25 , Issue.1
    • Lee, H.1    Tanaka, H.2
  • 6
    • 0032120067 scopus 로고    scopus 로고
    • Computation of the NPMLE of distribution functions for interval censored and truncated data with applications to the Cox model
    • Pan, W., Chappell, R. (1998). Computation of the NPMLE of distribution functions for interval censored and truncated data with applications to the Cox model. Computational Statistics & Data Analysis 28 (1), 33-50.
    • (1998) Computational Statistics & Data Analysis , vol.28 , Issue.1
    • Pan, W.1    Chappell, R.2
  • 7
    • 77949567110 scopus 로고    scopus 로고
    • Regression analysis of clustered interval-censored failure time data with informative cluster size
    • Zhang, X., Sun, J. (2010). Regression analysis of clustered interval-censored failure time data with informative cluster size. Computational Statistics & Data Analysis 54 (7), 1817-1823.
    • (2010) Computational Statistics & Data Analysis , vol.54 , Issue.7
    • Zhang, X.1    Sun, J.2
  • 10
    • 0022026102 scopus 로고
    • Fuzzy linear regression and its applications to forecasting in uncertain environment
    • Hesmaty, B., Kandel, A. (1985). Fuzzy linear regression and its applications to forecasting in uncertain environment. Fuzzy Sets and Systems 15, 159-191.
    • (1985) Fuzzy Sets and Systems , vol.15
    • Hesmaty, B.1    Kandel, A.2
  • 11
    • 84857633642 scopus 로고    scopus 로고
    • Interval regression by tolerance analysis approach
    • Submitted, Preprint: KAM-DIMATIA Series 963
    • Hladik, M., černý, M. (2010). Interval regression by tolerance analysis approach. Fuzzy Sets and Systems. Submitted, Preprint: KAM-DIMATIA Series 963.
    • (2010) Fuzzy Sets and Systems
    • Hladik, M.1    Černý, M.2
  • 13
  • 14
    • 0032205733 scopus 로고    scopus 로고
    • Interval regression analysis by quadratic programming approach
    • Tanaka, H., Lee, H., (1998). Interval regression analysis by quadratic programming approach. IEEE Transactions on Fuzzy Systems 6 (4), 473-481.
    • (1998) IEEE Transactions on Fuzzy Systems , vol.6 , Issue.4
    • Tanaka, H.1    Lee, H.2
  • 15
    • 0008321310 scopus 로고
    • Possibilistic linear systems and their application to the linear regression model
    • Tanaka, H., Watada, J. (1988). Possibilistic linear systems and their application to the linear regression model. Fuzzy Sets and Systems 27 (3), 275-289.
    • (1988) Fuzzy Sets and Systems , vol.27 , Issue.3
    • Tanaka, H.1    Watada, J.2
  • 17
    • 0000053257 scopus 로고    scopus 로고
    • Fuzzy regression by fuzzy number neural networks
    • Dunyak, J. P., Wunsch, D. (2000). Fuzzy regression by fuzzy number neural networks. Fuzzy Sets and Systems 112 (3), 371-380.
    • (2000) Fuzzy Sets and Systems , vol.112 , Issue.3
    • Dunyak, J.P.1    Wunsch, D.2
  • 18
    • 70350680657 scopus 로고    scopus 로고
    • Interval regression analysis with soft-margin reduced support vector machine
    • Germany: Springer
    • Huang, C.-H., Kao, H.-Y. (2009). Interval regression analysis with soft-margin reduced support vector machine. Lecture Notes in Computer Science 5579, Germany: Springer, 826-835.
    • (2009) Lecture Notes in Computer Science , vol.5579
    • Huang, C.-H.1    Kao, H.-Y.2
  • 19
    • 0027912844 scopus 로고
    • An architecture of neural networks with interval weights and its application to fuzzy regression analysis
    • Ishibuchi, H., Tanaka, H., Okada, H. (1993). An architecture of neural networks with interval weights and its application to fuzzy regression analysis. Fuzzy Sets and Systems 57 (1), 27-39.
    • (1993) Fuzzy Sets and Systems , vol.57 , Issue.1
    • Ishibuchi, H.1    Tanaka, H.2    Okada, H.3
  • 20
    • 0036568770 scopus 로고    scopus 로고
    • Solving the full rank interval least squares problem
    • Bentbib, A. H. (2002). Solving the full rank interval least squares problem. Applied Numerical Mathematics 41 (2), 283-294.
    • (2002) Applied Numerical Mathematics , vol.41 , Issue.2
    • Bentbib, A.H.1
  • 22
    • 84960586939 scopus 로고
    • On the calculation of the most probable values of frequency constants for data arranged according to equidistant divisions of a scale
    • Sheppard, W. (1898). On the calculation of the most probable values of frequency constants for data arranged according to equidistant divisions of a scale. Proceedings of the London Mathematical Society 29, 353-380.
    • (1898) Proceedings of the London Mathematical Society , vol.29
    • Sheppard, W.1
  • 23
    • 0344411517 scopus 로고
    • The conditions under which Sheppard's corrections are valid
    • Kendall, M. G. (1938). The conditions under which Sheppard's corrections are valid. Journal of the Royal Statistical Society 101, 592-605.
    • (1938) Journal of the Royal Statistical Society , vol.101
    • Kendall, M.G.1
  • 24
    • 84872645713 scopus 로고
    • The assumptions underlying the analysis of variance
    • Eisenhart, C. (1947). The assumptions underlying the analysis of variance. Biometrics 3, 1-21.
    • (1947) Biometrics , vol.3
    • Eisenhart, C.1
  • 25
    • 84864588742 scopus 로고    scopus 로고
    • Probabilistic rounding and Sheppard's correction
    • Department of Statistics, University of Munich. Available at
    • Schneeweiss, H., Komlos, J. (2008). Probabilistic rounding and Sheppard's correction. Technical report 45, Department of Statistics, University of Munich. Available at: http://epub.ub.uni-muenchen.de/8661/1/tr045.pdf'
    • (2008) Technical Report 45
    • Schneeweiss, H.1    Komlos, J.2
  • 26
    • 79958123060 scopus 로고    scopus 로고
    • A new approach to Sheppard's corrections
    • Di Nardo, E. (2010). A new approach to Sheppard's corrections. Mathematical Methods of Statistics, 19 (2), 151-162.
    • (2010) Mathematical Methods of Statistics , vol.19 , Issue.2
    • Di Nardo, E.1
  • 27
    • 33745184222 scopus 로고    scopus 로고
    • Proper rounding of the measurement results under the assumption of uniform distribution
    • Wimmer, G., Witkovský, V. (2002). Proper rounding of the measurement results under the assumption of uniform distribution. Measurement Science Review 2 (1), 1-7.
    • (2002) Measurement Science Review , vol.2 , Issue.1
    • Wimmer, G.1    Witkovský, V.2
  • 28
    • 0342420607 scopus 로고    scopus 로고
    • Proper rounding of the measurement results under normality assumptions
    • Wimmer, G., Witkovský, V., Duby, T. (2000). Proper rounding of the measurement results under normality assumptions. Measurement Science and Technology 11, 1659-1665.
    • (2000) Measurement Science and Technology , vol.11
    • Wimmer, G.1    Witkovský, V.2    Duby, T.3
  • 31
    • 13544273853 scopus 로고    scopus 로고
    • Solving the fixed rank convex quadratic maximization in binary variables by a parallel zonotope construction algorithm
    • Ferrez, J.-A., Fukuda, K., Liebling, T. (2005). Solving the fixed rank convex quadratic maximization in binary variables by a parallel zonotope construction algorithm. European Journal of Operational Research 166, 35-50.
    • (2005) European Journal of Operational Research , vol.166
    • Ferrez, J.-A.1    Fukuda, K.2    Liebling, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.