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References - Pg. 630

References Acion, L., Peterson, J. J., Temple, S., & Arndt, S. (2006). Probabilistic index: An intuitive non-parametric approach to measuring the size of treatment effects. Statistics in Medicine, 25, 591­602. Adrover, J., & Salibian-Barrera, M. (2010). Globally robust confidence intervals for simple linear regression. Computational Statistics and Data Analysis, 54, 2899­2913. Adrover, J., & Yohai, V. (2002). Projection estimates of multivariate location. Annals of Statistics, 30, 1760­1781. Agresti, A., & Caffo, B. (2000). Simple and effective confidence intervals for the proportions and differences of proportions result from adding two successes and two failures. American Statistician, 54, 280­288. Agresti, A., & Coull, B. A. (1998). Approximate is better than "exact" for interval estimation of binomial proportions. American Statistician, 52, 119­126. Agresti, A., & Pendergast, J. (1986). Comparing mean ranks for repeated measures data. Communications in Statistics­Theory and Methods, 15, 1417­1433. Agull´ , J., Croux, C., & Van Aelst, S. (2008). The multivariate least trimmed squares o estimator. Journal of Multivariate Analysis, 99, 311­338. Akritas, M. G. (1990). The rank transform method in some two-factor designs. Journal of the American Statistical Association, 85, 73­78. Akritas, M. G., & Arnold, S. F. (1994). Fully nonparametric hypotheses for factorial designs I: Multivariate repeated measures designs. Journal of the American Statistical Association, 89, 336­343. Akritas, M. G., Murphy, S. A., & LaValley, M. P. (1995). The Theil-Sen estimator with doubly censored data and applications to astronomy. Journal of the American Statistical Association, 90, 170­177. 631