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KUMAZAWA Yoshiki
Professor, Doctor of Engineering, Osaka University, 1990.
Graduate School of Engineering (Master Course), Osaka University, 1981.
Nonparametric Statistics, Survival Analysis
Office Hour: Wednesday, 13:00p.m.-16:00p.m.
Faculty of Economics,Shiga University
Bamba 1-1-1,Hikone, Shiga , JAPAN, 522
Tel: +81-749-27-1071
Fax: +81-749-27-1132
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@@Main publications
1. Goodness-of-fit statistics for testing symmetric distributions.J. Jap. Statist.Soc. Vol. 12, 25-38. 1982.
2. On the overall square sum of high-order spacings.J. Jap. Statist.Soc. Vol. 12, 39-44. 1982.
3.A class of test statistics for testing whether new is better than used.Communication in Statistics. A12, 311-321. 1983.
4. Tests for new better than used in expectation with randomly censored data.Sequential Analysis. Vol. 5, 85-92. 1986.
5. Testing whether new better than used in expectation for random censorship.Sequential Analysis. Vol. 5, 339-346. 1986.
6. A class of tests for new better than used in expectation with incomplete data.Sequential Analysis. Vol. 5. 347-361. 1986.
7. On testing whether new is better than used using randomly censored data.The Annals of Statistics. Vol. 15, 420-426. 1987.
8. A note on estimator of life expectancy for random censorship. Biometrika. Vol. 47. 655-658. 1987.
9. Tests for Exponentilality under Random Censorship Model.Doctoral Dissertation. Osaka University. 1990.
10. Tests for increasing failure rate with randomly censored data.statistics. Vol. 23, 17-25. 1992.
11. Comments on "A new test for mean residual life times" by Ahmad. Biometrika. Vol. 80, 473-474. 1993.
12. Comments on "Test for New Better than used in Convex Ordering". Communications in Statistics Vol. 30, 2231-2232. 2001.

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@@Others
[1] Hikone Ronsou, Vol. 230, 240, 245, 246-247, 253-254, 257, 260-261, 275, and 290.
[2] Working Paper Series in Shiga University.No. 9, 11, 15, 18, 19, 27, 29, 34, and 37.

@@Interests
Testing Exponentiality under Random Censorship, Weak Convergence and Empirical Processes with Applications to Statistics, and Macintosh SAS-JMP.


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