Statistical Science

A Conversation with Myles Hollander

Francisco J. Samaniego

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Myles Hollander was born in Brooklyn, New York, on March 21, 1941. He graduated from Carnegie Mellon University in 1961 with a B.S. in mathematics. In the fall of 1961, he entered the Department of Statistics, Stanford University, earning his M.S. in statistics in 1962 and his Ph.D. in statistics in 1965. He joined the Department of Statistics, Florida State University in 1965 and retired on May 31, 2007, after 42 years of service. He was department chair for nine years 1978–1981, 1999–2005. He was named Professor Emeritus at Florida State upon retirement in 2007.

Hollander served as Editor of the Journal of the American Statistical Association, Theory and Methods, 1994–1996, and was an Associate Editor for that journal from 1985 until he became Theory and Methods Editor-Elect in 1993. He also served on the editorial boards of the Journal of Nonparametric Statistics (1993–1997; 2003–2005) and Lifetime Data Analysis (1994–2007).

Hollander has published over 100 papers on nonparametric statistics, survival analysis, reliability theory, biostatistics, probability theory, decision theory, Bayesian statistics and multivariate analysis. He is grateful for the generous research support he has received throughout his career, most notably from the Office of Naval Research, the U.S. Air Force Office of Scientific Research, and the National Institutes of Health.

Myles Hollander has received numerous recognitions for his contributions to the profession. He was elected Fellow of the American Statistical Association (1972) and the Institute of Mathematical Statistics (1973), and became an elected member of the International Statistical Institute (1977). At Florida State University he was named Distinguished Researcher Professor (1996), he received the Professorial Excellence Award (1997), and in 1998 he was named the Robert O. Lawton Distinguished Professor, an award made to only one faculty member per year and the University’s highest faculty honor.

Myles Hollander was the Ralph A. Bradley Lecturer at the University of Georgia in 1999, and in 2003 he received the Gottfried E. Noether Senior Scholar Award in Nonparametric Statistics from the American Statistical Association. He was the Buckingham Scholar-in-Residence at Miami University, Oxford, Ohio in September, 1985, and had sabbatical visits at Stanford University (1972–1973; 1981–1982), the University of Washington (1989–1990) and the University of California at Davis (Spring, 2006). The following conversation took place in Myles Hollander’s office at the Department of Statistics, Florida State University, Tallahassee, on April 19, 2007.

Article information

Statist. Sci., Volume 23, Number 3 (2008), 420-438.

First available in Project Euclid: 28 January 2009

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Nonparametrics Bayesian methods Dirichlet process biostatistics ranking methods reliability theory stochastic comparisons system signatures writing editing administration


Samaniego, Francisco J. A Conversation with Myles Hollander. Statist. Sci. 23 (2008), no. 3, 420--438. doi:10.1214/07-STS248.

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  • Allen, W. R. (1963). A note on conditional probability of failure when hazards are proportional. Oper. Res. 11 658–659.
  • Brown, B.W., JR. and Hollander, M. (1977). Statistics: A Biomedical Introduction. Wiley, New York.
  • Campbell, G. and Hollander, M. (1978). Rank order estimation with the Dirichlet prior. Ann. Statist. 6 142–153.
  • Chen, Y. Y., Hollander, M. and Langberg, N. (1982). Small-sample results for the Kaplan–Meier estimator. J. Amer. Statist. Assoc. 77 141–144.
  • Cifarelli, D. and Melilli, E. (2000). Some new results for Dirichlet priors. Ann. Statist. 28 1390–1413.
  • Diaconsis, P. and Freedman, D. (1986). On inconsistent Bayes estimates of location. Ann. Statist. 14 68–87.
  • Doksum, K. A. (1967). Robust procedures for some linear models with one observation per cell. Ann. Math. Statist. 38 878–883.
  • Doksum, K. A. and Lo, A. Y. (1990). Consistent and robust Bayes procedures for location based on partial information. Ann. Statist. 18 443–453.
  • Dorado, C., Hollander, M. and Sethuraman, J. (1997). Nonparametric estimation for a general repair model. Ann. Statist. 25 1140–1160.
  • Efron, B. (1967). The two sample problem with censored data. In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics 4 831–852. Univ. California Press, Berkeley.
  • Ferguson, T. S. (1973). A Bayesian analysis of some nonparametric problems. Ann. Statist. 1 209–230.
  • Guess, F., Hollander, M. and Proschan, F. (1986). Testing exponentiality versus a trend change in mean residual life. Ann. Statist. 14 1338–1398.
  • Hannum, R. C., Hollander, M. and Langberg, N. (1981). Distributional results for random functionals of a Dirichlet process. Ann. Probab. 9 665–670.
  • Hannum, R. and Hollander, M. (1983). Robustness of Ferguson’s Bayes estimator of a distribution function. Ann. Statist. 11 632–639.
  • Hollander, M. (1966). An asymptotically distribution-free multiple comparison procedure-treatments vs. control. Ann. Math. Statist. 37 735–738.
  • Hollander, M. (1967). Rank test for randomized blocks when the alternatives have an a priori ordering. Ann. Math. Statist. 38 867–877.
  • Hollander, M., Mckeague, I. W. and Yang, J. (1997). Likelihood ratio based confidence bands for survival functions. J. Amer. Statist. Assoc. 92 215–226.
  • Hollander, M. and Peña, E. (1988). Nonparametric tests under restricted treatment assignment rules. J. Amer. Statist. Assoc. 83 1144–1151.
  • Hollander, M. and Peña, E. (1992). A chi-square goodness-of-fit test for randomly censored data. J. Amer. Statist. Assoc. 87 458–463.
  • Hollander, M. and Peña, E. (1995). Dynamic reliability models with conditional proportional hazards. Lifetime Data Anal. 1 377–401.
  • Hollander, M. and Peña, E. (1996). Reliability models and inference for series systems operating in different environments. Nav. Res. Logist. 43 1079–1108.
  • Hollander, M., Presnell, B. and Sethuraman, J. (1992). Nonparametric methods for imperfect repair models Ann. Statist. 20 879–896.
  • Hollander, M. and Proschan F. (1972). Testing whether new is better than used. Ann. Math. Statist. 43 1136–1146.
  • Hollander, M. and Proschan, F. (1975). Tests for the mean residual life. Biometrika 62 585–593.
  • Hollander, M. and Proschan, F. (1984). The Statistical Exorcist. Dekker, New York.
  • Hollander, M., Proschan, F. and Sethuraman, J. (1977). Functions decreasing in transposition and their applications in ranking problems. Ann. Statist. 5 722–733.
  • Hollander, M. and Samaniego, F. J. (2008). The use of stochastic precedence in the comparison of Engineered Systems. In Proceedings of the 2007 International Conference on Mathematical Methods in Reliability. To appear.
  • Hollander, M. and Sethuraman, J. (1978). Testing for agreement between two groups of judges. Biometrika 65 403–411.
  • Hollander, M. and Wolfe, D. A. (1973). Nonparametric Statistical Methods. Wiley, New York.
  • Hollander, M. and Wolfe, D. A. (1999). Nonparametric Statistical Methods, 2nd ed. Wiley, New York.
  • Kochar, S., Loader, C. and Hawkins, D. L. (1992). Testing exponentiality against IDMRL distributions with unknown change point. Ann. Statist. 20 280–290.
  • Kochar, S., Mukerjee, H. and Samaniego, F. J. (1999). The ‘signature’ of a coherent system and its application to comparisons among systems. Nav. Res. Logist. 46 507–523.
  • Korwar, R. M. and Hollander, M. (1973). Contributions to the theory of Dirichlet processes. Ann. Probab. 1 705–711.
  • Korwar, R. M. and Hollander, M. (1976). Empirical Bayes estimation of distribution function. Ann. Statist. 4 580–587.
  • Lehmann, E. L. (1953). The power of rank tests. Ann. Math. Statist. 24 23–43.
  • Li, G. and Doss, H. (1993). Generalized Pearson–Fisher chi-square goodness-of-fit test, with applications to models with life history data. Ann. Statist. 21 772–797.
  • Li, G., Hollander, M., Mckeague, I. W. and Yang, J. (1996). Nonparametric likelihood ratio confidence bands for quantile functions from incomplete survival data. Ann. Statist. 24 628–640.
  • Nemenyi, P. (1963). Distribution-free multiple comparisons. Ph.D. thesis, Princeton Univ.
  • Peña, E. and Hollander, M. (2004). Models for recurrent phenomena in survival analysis and reliability. In Mathematical Reliability: An Expository Perspective (T. Mazzuchi, N. Singpurwalla, and R. Soyer, eds.) 105–123. Kluwer, Norwell, Massachusetts.
  • Randles, H. R. and Hollander, M. (1971). T-minimax selection procedures in treatments versus control problems. Ann. Math. Statist. 42 330–341.
  • Regazzini, E., Guglielmi, A. and Di Nunno, G. (2002). Theory and numerical analysis for exact distributions of functionals of a Dirichlet process. Ann. Statist. 30 1376–1411.
  • Sethuraman, J. and Hollander, M. (2008). Nonparametric Bayes estimation in repair models. J. Statist. Plann. Inference. To appear.
  • Whitaker, L. R. and Samaniego, F. J. (1989). Estimating the reliability of systems subject to imperfect repair. J. Amer. Statist. Assoc. 84 301–309.