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公開日: 09/19/2023

参考文献

『基本的な統計分析』では、以下の文献を参考にしています。

Agresti, A. (1990). Categorical Data Analysis. New York: John Wiley & Sons.

Agresti, A., and Coull, B. A. (1998). “Approximate is Better Than ‘Exact’ for Interval Estimation of Binomial Proportions.” American Statistician 52:119–126.

Asiribo, O., and Gurland, J. (1990). “Coping with Variance Heterogeneity.” Communication in Statistics: Theory and Methods 19:4029–4048.

Bablok, W., Passing, H., Bender, R., and Schneider, B. (1988). “A General Regression Procedure for Method Transformation.” Journal of Clinical Chemistry Clinical Biochemistry 26:783–90.

Bartlett, M. S., and Kendall, D. G. (1946). “The Statistical Analysis of Variance-Heterogeneity and the Logarithmic Transformation.” Supplement to the Journal of the Royal Statistical Society 8:128–138.

Bissell, A. F. (1990). “How Reliable is Your Capability Index?” Applied Statistics 30:331–340.

Boos, D. D., and Duan, S. (2021). “Pairwise Comparisons Using Ranks in the One-Way Model.”American Statistician 75:414–423.

Brown, M. B., and Benedetti, J. K. (1977). “Sampling Behavior of Tests for Correlation in Two-Way Contingency Tables.” Journal of the American Statistical Association 72:305–315.

Brown, M. B., and Forsythe, A. B. (1974). “Robust Tests for Equality of Variances.” Journal of the American Statistical Association 69:364–367.

Chen, S.-X., and Hall, P. (1993). “Empirical Likelihood Confidence Intervals for Quantiles.” The Annals of Statistics 21:1166–1181.

Chou, Y.-M., Owen, D. B., and Borrego, S. A. (1990). “Lower Confidence Limits on Process Capability Indices.” Journal of Quality Technology 22:223–229.

Cleveland, W. S. (1979). “Robust Locally Weighted Regression and Smoothing Scatterplots.” Journal of the American Statistical Association 74:829–836.

Cohen, J. (1960). “A Coefficient of Agreement for Nominal Scales.” Education Psychological Measurement 20:37–46.

Conover, W. J. (1972). “A Kolmogorov Goodness-of-fit Test for Discontinuous Distributions.” Journal of the American Statistical Association 67:591–596.

Conover, W. J. (1980). Practical Nonparametric Statistics. New York: John Wiley & Sons.

Conover, W. J. (1999). Practical Nonparametric Statistics. 3rd ed. New York: John Wiley & Sons.

Cureton, E. E. (1967). “The Normal Approximation to the Signed-Rank Sampling Distribution when Zero Differences are Present.” Journal of the American Statistical Association 62:1068–1069.

DeLong, E. R., DeLong, D. M., and Clarke-Pearson, D. L. (1988). “Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach.” Biometrics 44:837–845.

Devore, J. L. (1995). Probability and Statistics for Engineering and the Sciences. Pacific Grove, CA: Duxbury Press.

Dunn, O. J. (1964). “Multiple Comparisons Using Rank Sums.” Technometrics 6:241–252.

Dunnett, C. W. (1955). “A Multiple Comparisons Procedure for Comparing Several Treatments with a Control.” Journal of the American Statistical Association 50:1096–1121.

Efron, B. (1981). “Nonparametric Standard Errors and Confidence Intervals.” The Canadian Journal of Statistics 9:139–158.

Eubank, R. L. (1999). Nonparametric Regression and Spline Smoothing. 2nd ed. Boca Raton, Florida: CRC.

Fleiss, J. L., Cohen, J., and Everitt, B. S. (1969). “Large-Sample Standard Errors of Kappa and Weighted Kappa.” Psychological Bulletin 72:323–327.

Friendly, M. (1994). “Mosaic Displays for Multi-Way Contingency Tables.” Journal of the American Statistical Association 89:190–200.

Goodman, L. A., and Kruskal, W. H. (1979). Measures of Association for Cross Classification. New York: Springer-Verlag.

Gupta, S. S. (1965). “On Some Multiple Decision (Selection and Ranking) Rules. Technometrics 7:225–245.

Hajek, J. (1969). A Course in Nonparametric Statistics. San Francisco: Holden-Day.

Hartigan, J. A., and Kleiner, B. (1981). “Mosaics for Contingency Tables.” In Computer Science and Statistics: Proceedings of the Thirteenth Symposium on the Interface, edited by W. F. Eddy, 268–273. New York: Springer-Verlag.

Hayter, A. J. (1984). “A Proof of the Conjecture That the Tukey-Kramer Method Is Conservative.” Annals of Mathematical Statistics 12: 61–75.

Hosmer, D. W., and Lemeshow, S. (1989). Applied Logistic Regression. New York: John Wiley & Sons.

Howell, D. C. (2013). Statistical Methods for Psychology. 8th ed. Belmont, California: Wadsworth.

Hsu, J. (1981). “Simultaneous Confidence Intervals for All Distances from the ‘Best’.” Annals of Statistics 9:1026–1034.

Hsu, J. C. (1996). Multiple Comparisons: Theory and Methods. London: Chapman and Hall.

Huber, P. J. (1973). “Robust Regression: Asymptotics, Conjecture, and Monte Carlo.” Annals of Statistics 1:799–821.

Huber, P. J., and Ronchetti, E. M. (2009). Robust Statistics. 2nd ed. New York: John Wiley & Sons.

Iman, R. L. (1974). “Use of a t-statistic as an Approximation to the Exact Distribution of Wilcoxon Signed Ranks Test Statistic.” Communications in Statistics—Simulation and Computation 3:795–806.

Jones, M. C., and Pewsey, A. (2009). “Sinh-Arcsinh Distributions.” Biometrika 96:761–780.

Kendall, M., and Stuart, A. (1979). The Advanced Theory of Statistics. 4th ed. Vol. 2. New York: Macmillan.

Keuls, M. (1952). “The Use of the ‘Studentized Range’ in Connection with an Analysis of Variance.” Euphytica 1.2:112–122.

Kramer, C. Y. (1956). “Extension of Multiple Range Tests to Group Means with Unequal Numbers of Replications.” Biometrics 12:307–310.

Lehmann, E. L., and D’Abrera, H. J. M. (2006). Nonparametrics: Statistical Methods Based on Ranks. Rev. ed. San Francisco: Holden-Day.

Levene, H. (1960). “Robust Tests for the Equality of Variance.” In Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling, edited by I. Olkin, S. G. Ghurye, W. Hoeffding, W. G. Madow, and H. B. Mann. Palo Alto, CA: Stanford University Press.

McCullagh, P., and Nelder, J. A. (1989). Generalized Linear Models. London: Chapman and Hall.

Meeker, W. Q., and Escobar, L. A. (1998). Statistical Methods for Reliability Data. New York: John Wiley & Sons.

Meeker, W. Q., Hahn, G. J., and Escobar, L. A. (2017). Statistical Intervals: A Guide for Practitioners and Researchers. 2nd ed. New York: John Wiley & Sons.

Miller, A. J. (1972). “Letter to the Editor.” Technometrics 14:507.

Nagelkerke, N. J. D. (1991). “A Note on a General Definition of the Coefficient of Determination.” Biometrika 78:691–692.

Nelson, P. R., Wludyka, P. S., and Copeland, K. A. F. (2005). The Analysis of Means: A Graphical Method for Comparing Means, Rates, and Proportions. Philadelphia: Society for Industrial and Applied Mathematics.

Neter, J., Wasserman, W., and Kutner, M. H. (1996). Applied Linear Statistical Models. 4th ed. Boston: Irwin.

O’Brien, R. G. (1979). “A General ANOVA Method for Robust Tests of Additive Models for Variances.” Journal of the American Statistical Association 74:877–880.

O'Brien, R., and Lohr, V. (1984). “Power Analysis For Linear Models: The Time Has Come.” Proceedings of the Ninth Annual SAS User's Group International Conference, 840–846. Cary, NC: SAS Institute Inc.

Olejnik, S. F., and Algina, J. (1987). “Type I Error Rates and Power Estimates of Selected Parametric and Nonparametric Tests of Scale.” Journal of Educational Statistics 12:45–61.

Passing, H., Bablok, W. (1983). “A New Biometrical Procedure for Testing the Equality of Measurements from Two Different Analytical Methods”. Journal of Clinical Chemistry Clinical Biochemistry, 21:709–20.

Passing, H., Bablok, W. (1984). “Comparison of Several Regression Procedures for Method Comparison Studies and Determination of Sample Sizes”. Journal of Clinical Chemistry Clinical Biochemistry, 22:431–45.

Pratt, J. W. (1959). “Remarks on Zeros and Ties in the Wilcoxon Signed Rank Procedures.” Journal of the American Statistical Association 54:655–667.

Reinsch, C. H. (1967). “Smoothing by Spline Functions.” Numerische Mathematik 10:177–183.

Rousseeuw, P. J., and Leroy, A. M. (1987). Robust Regression and Outlier Detection. New York: John Wiley & Sons.

Rubin, D. (1981). “The Bayesian Bootstrap.” The Annals of Statistics 9:130–134.

SAS Institute Inc. (2020a). “Introduction to Nonparametric Analysis.” In SAS/STAT 15.2 User’s Guide. Cary, NC: SAS Institute Inc. https://go.documentation.sas.com/api/docsets/statug/15.2/content/intronpar.pdf.

SAS Institute Inc. (2020b). “The FREQ Procedure.” In SAS/STAT 15.2 User’s Guide. Cary, NC: SAS Institute Inc. https://go.documentation.sas.com/api/docsets/statug/15.2/content/freq.pdf.

Schuirmann, D. J. (1987). “A Comparison of the Two One-Sided Tests Procedure and the Power Approach for Assessing the Equivalence of Average Bioavailability.” Journal of Pharmacokinetics and Biopharmaceutics 15:657–680.

Slifker, J. F., and Shapiro, S. S. (1980). “The Johnson System: Selection and Parameter Estimation.” Technometrics 22:239–246.

Snedecor, G. W., and Cochran, W. G. (1980). Statistical Methods. 7th ed. Ames, Iowa: Iowa State University Press.

Somers, R. H. (1962). “A New Asymmetric Measure of Association for Ordinal Variables.” American Sociological Review 27:799–811.

Stephens, M. A. (1974). “EDF Statistics for Goodness of Fit and Some Comparisons.” Journal of the American Statistical Association 69:730–737.

Tan, C. Y., and Iglewicz, B. (1999). “Measurement-Methods Comparisons and Linear Statistical Relationship.” Technometrics 41:192–201.

Tamhane, A. C., and Dunlop, D. D. (2000). Statistics and Data Analysis. Englewood Cliffs, NJ: Prentice-Hall.

Tukey, J. W. (1953). “The Problem of Multiple Comparisons.” In Multiple Comparisons, 1948–1983, edited by H. I. Braun, vol. 8 of The Collected Works of John W. Tukey (published 1994), 1–300. London: Chapman & Hall. Unpublished manuscript.

Welch, B. L. (1951). “On the Comparison of Several Mean Values: An Alternative Approach.” Biometrika 38:330–336.

Wheeler, D. J. (2003). Range Based Analysis of Means. Knoxville, TN: SPC Press.

Wilson, E. B. (1927). “Probable Inference, the Law of Succession, and Statistical Inference.” Journal of the American Statistical Association 22:209–212.

Wludyka, P. S., and Nelson, P. R. (1997). “An Analysis-of-Means-Type Test for Variances From Normal Populations.” Technometrics 39:274–285.

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