The UNIVARIATE Procedure

Blom, G. (1958), Statistical Estimates and Transformed Beta Variables, New York: John Wiley & Sons.

Bowman, K. O. and Shenton, L. R. (1983), “Johnson’s System of Distributions,” in S. Kotz, N. L. Johnson, and C. B. Read, eds., Encyclopedia of Statistical Sciences, volume 4, 303–314, New York: John Wiley & Sons.

Chambers, J. M., Cleveland, W. S., Kleiner, B., and Tukey, P. A. (1983), Graphical Methods for Data Analysis, Belmont, CA: Wadsworth International Group.

Cohen, A. C. (1951), “Estimating Parameters of Logarithmic-Normal Distributions by Maximum Likelihood,” Journal of the American Statistical Association, 46, 206–212.

Conover, W. J. (1980), Practical Nonparametric Statistics, 2nd Edition, New York: John Wiley & Sons.

Croux, C. and Rousseeuw, P. J. (1992), “Time-Efficient Algorithms for Two Highly Robust Estimators of Scale,” Computational Statistics, 1, 411–428.

D’Agostino, R. B. and Stephens, M., eds. (1986), Goodness-of-Fit Techniques, New York: Marcel Dekker.

Dixon, W. J. and Tukey, J. W. (1968), “Approximate Behavior of the Distribution of Winsorized t (Trimming/Winsorization 2),” Technometrics, 10, 83–98.

Elandt, R. C. (1961), “The Folded Normal Distribution: Two Methods of Estimating Parameters from Moments,” Technometrics, 3, 551–562.

Fisher, R. A. (1973), Statistical Methods for Research Workers, 14th Edition, New York: Hafner Publishing.

Fowlkes, E. B. (1987), A Folio of Distributions: A Collection of Theoretical Quantile-Quantile Plots, New York: Marcel Dekker.

Hahn, G. J. and Meeker, W. Q. (1991), Statistical Intervals: A Guide for Practitioners, New York: John Wiley & Sons.

Hampel, F. R. (1974), “The Influence Curve and Its Role in Robust Estimation,” Journal of the American Statistical Association, 69, 383–393.

Iman, R. L. (1974), “Use of a t-Statistic as an Approximation to the Exact Distribution of the Wilcoxon Signed Rank Statistic,” Communications in Statistics, 3, 795–806.

Johnson, N. L., Kotz, S., and Balakrishnan, N. (1994), Continuous Univariate Distributions, volume 1, 2nd Edition, New York: John Wiley & Sons.

Johnson, N. L., Kotz, S., and Balakrishnan, N. (1995), Continuous Univariate Distributions, volume 2, 2nd Edition, New York: John Wiley & Sons.

Jones, M. C., Marron, J. S., and Sheather, S. J. (1996), “A Brief Survey of Bandwidth Selection for Density Estimation,” Journal of the American Statistical Association, 91, 401–407.

Lehmann, E. L. and D’Abrera, H. J. M. (1975), Nonparametrics: Statistical Methods Based on Ranks, San Francisco: Holden-Day.

Odeh, R. E. and Owen, D. B. (1980), Tables for Normal Tolerance Limits, Sampling Plans, and Screening, New York: Marcel Dekker.

Owen, D. B. and Hua, T. A. (1977), “Tables of Confidence Limits on the Tail Area of the Normal Distribution,” Communication in Statistics—Simulation and Computation, 6, 285–311.

Rousseeuw, P. J. and Croux, C. (1993), “Alternatives to the Median Absolute Deviation,” Journal of the American Statistical Association, 88, 1273–1283.

Royston, J. P. (1992), “Approximating the Shapiro-Wilk W Test for Nonnormality,” Statistics and Computing, 2, 117–119.

Shapiro, S. S. and Wilk, M. B. (1965), “An Analysis of Variance Test for Normality (Complete Samples),” Biometrika, 52, 591–611.

Silverman, B. W. (1986), Density Estimation for Statistics and Data Analysis, New York: Chapman & Hall.

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

Terrell, G. R. and Scott, D. W. (1985), “Oversmoothed Nonparametric Density Estimates,” Journal of the American Statistical Association, 80, 209–214.

Tukey, J. W. (1977), Exploratory Data Analysis, Reading, MA: Addison-Wesley.

Tukey, J. W. and McLaughlin, D. H. (1963), “Less Vulnerable Confidence and Significance Procedures for Location Based on a Single Sample: Trimming/Winsorization 1,” Sankhy, Series A, 25, 331–352.

Velleman, P. F. and Hoaglin, D. C. (1981), Applications, Basics, and Computing of Exploratory Data Analysis, Boston: Duxbury Press.

Wainer, H. (1974), “The Suspended Rootogram and Other Visual Displays: An Empirical Validation,” American Statistician, 28, 143–145.