Reference: | [ 1]李立行(民國77年),運用現金流量預測企業財務危機之研究-以上 市公司紡織業為例,淡江大學管理科學研究所碩士論文. [ 2]何正宏(民國80年),模糊聚類法於胃癌診斷之分析,清華大學工業工 程研究所碩士論文. [ 3]曹中庸(民國81年),以模糊集理論分析胃癌病患之罪機追蹤檢查計 畫,清華大學工業工程研究所碩士論文. [ 4]陳杰忠(民國81年),台灣上市公司股權結構與股票報酬率之研究,政 治大學會計研究所碩士論文. [ 5]陳柏堅(民國80年),國際股市股價指數與國內股市股價指數之關係 研究,中興大學企管研究所碩士論文. [ 6]陳建良(民國82年),模糊聚類與模糊鑑別分析實務應用之研究-以 上市公司經營績效評估為例,淡江大學管理科學研究所碩士論文. [ 7]張健邦(民國82年),應用多變量分析,第一版,文富. [ 8]黃俊英(民國80年),多變量分析,第四版,華泰. [ 9]蕭至哲(民國81年),模糊數學與聚類分析在汽車保險上之應用,政治 大學統計研究所碩士論文. [10]謝維信(民國81年),工程模糊數學,第一版,儒林. [11]藎壚(民國80年),實用模糊數學,第一版,亞東.
[12]Abdullah,M. B.(1990), “On a robust correlation coefficient”, The Statistican, Vol. 39, pp. 455-460. [13]Adichie, J. N.(1967), “Estimation of regression coefficients based on rank tests”, The Annals of Mathermatical Statistics, Vol. 38, pp. 894-904. [14]Al-Sultan, K.s., and Selim S. Z.(1993), “A global algorithm for the fuzzy clustering problem”, Pattern Recognition, Vol. 26, No. 9, pp. 1357-1361. [15]Arbel, A., Steven, C., and Strebel, P.(1983), “Giraffes, institutions and neglected firms”, Financial Analysts Journal, Vol. 39, May/June, pp. 57-62. [16]Bebbington, A. C.(1978). “A method of bivariate trimming for roubst estimation of the correlation coefficient”, Applied Statistics, Vol. 27, No. 3, pp.221-226. [17]Bezdek, J. C.(1973), fuzzy mathematics in pattern classidication, Ph. D. thesis, Cornell University, Ithaca, N.Y.. [18]Bezdek, J. C. (1981), Pattern recognition with fuzzy objective function algorithms, Plenum, New York. [19]Bickel, P. J.(1973), “On some analogues to linear combination of order statistics in the linear model”, Annals of Statistics, Vol. 1, pp. 597-616. [20]Cheng, K. S., and Hettmansperger, T. P.(1983), “Weighted leasted=squares rank estimates”, Communications in Statistics, Part A – Theory and Methods, Vol. 12, pp. 1069-1086. [21]Cutsem, B. V., and Gath, I.(1993), “Detection of outliers and robust estimation using fuzzy clustering”, Computational Statistics and Data Analysis, Vol. 15, pp.47-61. [22]Dodge, Y.(1984). “Robust estimation of regression coefficients by minimizing a convex combination of least squares and least absolute deviations”, Computational Statistics Quarlerly, Vol. 1, pp. 139-153. [23]Dutter, R.(1977), “Numerical solution of robust regression problems : Computational aspects, a comparison”, Journal of Statistical Computation and Simulation, Vol. 5, pp.207-238. [24]Edelman, R. B., and Baker, H.K.(1987), “The dynamics of neglect and return”, Journal of Portfolio Management, Vol. 14, Fall, pp. 52-55. [25]Edwards, A. L.(1976),. An introduction to linear regression and correlation, 1st edition, W. H. Freeman and Company, San Francisco. [26]Gath, I., and Geva, A. B.(1989A), “unsupervised optimal fuzzy clustering”, IEEE Trans. PAMI, Vol. 11, pp. 773-781. [27]Gath, I., and Geva, A. B.(1989B), “Fuzzy clustering for the estimation of the parameters of the components of mixtures of normal distribution”, Pattern Recognition Letters, Vol. 9, pp. 77-86. [28]Gibbons, J. D.(1971), Nonparametric statistical inference, McGraw – Hill, New York. [29]Hampel, F. R.(1971), “A general qualitative definition of robustness”, The Annals of Mathematical Statistics, Vol. 42, No. 6, pp. 1887-1896. [30]Hodges, J. L, Jr., and Lehmann, E. L.(1963), “Estimates of location based on rank tests”, The Annals of Mathermatical Statistics, Vol. 34, pp. 598-611. [31]Huber, P. J.(1973), “Robust regression : Asymptotics, conjectures and Monte Carlo”, Annals of Statistics, Vol. 1, pp. 799-821. [32]Jaeckel, L. A.(1972), “Estimating regression coefficients by minimizing the dispersion of residuals”, The Annals of Mathematical Statistics, Vol. 43, No. 5, pp. 1449-1458. [33]Johnson, R. A., and Wichern, D. W.(1992), Applied multivariate statistical analysis, 3rd edition , Prentice – Hall. [34]Jureckova, J.(1971), “Nonparametric estimate of regression coefficients”, The Annals of Mathematical Statistics, Vol. 42, pp. 1328-1338. [35]Kaufman, L., and Rousseeuw, P. J(1990), Finding groups in data: A introduction to clustering analysis, Wiley. [36]Kendall, M. G., and Buckland, W. R. (1982), A dictionary of statistical terms, 4th edition, Longman, London and New York. [37]Koenker, R., and Bassett, G. J(1978), “Regression quantiles”, Econometrica, Vol. 46, pp. 33-50. [38]Neter, J., Wasserman, W., and Kutner, M. H.(1983), Applied linear regression models, 1st edition, Hwa Tai, Taipei. [39]Oja, H., and Niinimaa, A.(1984), On Robust Estimation of regression Coefficients, Research Report, Department of Applied Mathematics and Statistics, University of Oulu, Finland. [40]Rousseeuw, P. J.(1984), “Least median of squares regression”, Journal of the American Statistical Association, Vol. 79, pp. 871-880. [41]Rousseeuw, P. J.,Derde, M. P., and Kaufman, L.(1989), “Principal Components of a fuzzy clustering”, Trends in analytical chemistry, Vol. 8, No. 7, pp. 249-250. [42]Rousseeuw, P. J.,and Leroy, A. M.(1987), Roubst regression and outlier detection, Wiley, New York. [43]Rousseeuw, P. J. and Wagner J.(1994), “Robust regression with a distributed intercept using least median of squares regression”, Computational Statistics and Data Analysis, Vol. 17, pp. 65-75. [44]Rupperts, D., and Carroll, R. J.(1980), “Trimmed leasted squares estimation in the linear model”, Journal of the American Statistical Assoc., Vol. 75, pp. 828-838. [45]SAS/IML User’s Guide(1988), Release 6.03 Edition, SAS Institute Inc.. [46]Titterington, D. M.(1978), “Estimation of correlation coefficients by ellipsoidal Trimming”, Applied Statistics, Vol. 27, No. 3, pp. 227 - 234. [47]Wolfe, J. H. (1970), “Pattern clustering by multivariate mixture analysis”, Multivariate Behavioral Research , Vol. 5, pp. 329-350. [48]Yohai, V. J.(1985), “High breakdown-point and high efficiency robust estimates for regression” to appear in Annals of Statistics. [49]Yohai, V., and Zamar, R.(1986),”High breakdown-point estimates of regression by means of the minimization of an efficient scale”, Technical Report No. 84, Department of Statistic, University of Washington, Seattle. [50]Zadeh, L. A. (1965), “Fuzzy sets”, Information and Control, Vol. 8, pp. 338-353. |