Skip to main content
SpringerLink
Log in

Introduction to Tukey (1962) The Future of Data Analysis

  • Chapter
Breakthroughs in Statistics

Part of the book series: Springer Series in Statistics ((PSS))

  • 8419 Accesses

Abstract

Among articles from the Annals of Mathematical Statistics (AMS), “The Future of Data Analysis” is unusual in many ways.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Braun, H.I., and Tukey, J.W. (1983). Multiple comparisons through orderly partitions: The maximum subrange procedure, in Principals of Modern Psychological Measurement: A Festschrift for Frederic M. Lord (W. Wainer, and S. Messick. eds.). Laurence Erlbaum Associates. Hillsdale, N.J. 55–65.

    Google Scholar 

  • Dixon, W.J., and Tukey, J.W. (1968). Approximate behavior of the distribution of Winsorized t, Technometries. 10. 83–98.

    Article  MathSciNet  Google Scholar 

  • Gentleman, W.M., Gilbert. J.P., and Tukey, J.S. (1969). Thesmear-and-swecp analysis, in The National Halothane Study. ( J.P. Bunker. W.H. Forrest, Jr., F. Mosteller, and L.D. Vandam, eds.). U.S. Government Printing Office. Washington. D.C. 287–315.

    Google Scholar 

  • Hampel, F. (1991). Introduction to P.J. Huber (1964): Robust estimation of a location parameter. In Breakthroughs in Statistics, Vol. II ( S. Kotz, and N.L. Johnson, eds.). Springer-Verlag, New York.

    Google Scholar 

  • Hampel. F.R.. Ronchetti. E.M.. Rousseeuw. P.J., and Stahel. W.A. (1986). Robust Statistics: The Approach Based on Influence Functions. Wiley. New York.

    MATH  Google Scholar 

  • Hoaglin, D.C., Iglewicz, B., and Tukey. J.W. (1981). Small-sample performance of a resistant rule for outlier detection, in 1980 Proceedings of the Statistical Computing Section. American Statistical Association. Washington, D.C.

    Google Scholar 

  • Hoaglin. D.C. Iglewicz. B., and Tukey, J.W. (1986). Performance of some resistant rules for outlier labeling. J. Amer. Statist. Assoc. 81. 991–999

    Article  MathSciNet  MATH  Google Scholar 

  • Hoaglin. D.C.. Mosteller. F., and Tukey, J.W. (eds.) (1983). Understanding Robust and Exploratory Data Analysis. Wiley, New York.

    MATH  Google Scholar 

  • Hoaglin, D.C., Mosteller. F. and Tukey, J.W. (eds.) (1985). Exploring Data Tables. Trends, and Shapes. Wiley, New York.

    MATH  Google Scholar 

  • Hodges. J.L.. Jr. (1962). Report of the editor for 1962, Ann. Math. Statist.. 33. 517–518.

    Article  MathSciNet  Google Scholar 

  • Huber, PJ. (1964). Robust estimation of a location parameter. Ann. Math. Statist.. 35. 73–101.

    Article  MathSciNet  MATH  Google Scholar 

  • Huber, P.J. (1981). Robust Statisties. Wiley. New York.

    Book  Google Scholar 

  • Mosteller. F. (1984). Biography of John W. Tukey. in The Collected Works of John W. Tukey, Vol.1: Time Series, 1949-1964 ( D.R Brillinger, ed.) Wadsworth. Monterey. Calif.

    Google Scholar 

  • Mosteller, F.. and Tukcy, J.W. (1968). Data analysis, including statistics, in Handbook of Social Psychology, 2nd ed. Vol. 2. (G. Lindzey, and F.. Aronson, eds.). Addison- Wesley. Reading. Mass. [Also in The Collected Works of John W. Tukey, Vol. IV: Philosophy and Principles of Data Analysis. 1965–1986 (L.V. Jones, ed.) 1986, Wadsworth, Monterey, Calif.]. 601–720.

    Google Scholar 

  • Mosteller. F.. and Tukey, J.W. (1978). Data Analysis and Regression: A Second Course in Statistics. Addison-Wesley, Reading. Mass.

    Google Scholar 

  • Rogers, W.H., and Tukey. J.W. (1972). Understanding some long-tailed symmetrical distributions, Statistica Neerlandica. 26. 211–226.

    Article  MathSciNet  Google Scholar 

  • Tukey, J.W. (1953). The growth of experimental design in a research laboratory, in Research Operations in Industry. King’s Crown Press. New York [also in The Collected Works of John W. Tukey. Vol. Ill: Philosophy and Principles of Data Analysis, 1949–1964 (L.V. Jones, ed.), 1986. Wadsworth. Monterey, Calif., 65–76.

    Google Scholar 

  • Tukey, J.W. (1954). Unsolved problems of experimental statistics, J. Amer. Statist Assoc., 55.80 93. [also in The Collected Works of John W. Tukey, Vol. Ill: Philosophy and Principles of Data Analysis, 1949–1964 (L.V. Jones, ed.), 1986, Wadsworth. Monterey, Calif.].

    Article  MathSciNet  Google Scholar 

  • Tukey. J.W. (1960a). Where do we go from here? J. Amer. Statist. Assoc., 55, 80–93 [also in The Collected Work of John W. Tukey, Vol. III: Philosophy and Principles of Data Analysis. 1949–1964 (L.V. Jones, ed.), 1986, Wadsworth. Monterey, Calif.].

    Article  MathSciNet  Google Scholar 

  • Tukey. J.W. (1960b). A survey of sampling from contaminated distributions, in Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling ( I. Olkin, S.G. Ghurye, W. Hoeffding, W.G. Madow, and H.B. Mann. eds.). Stanford University Press.

    Google Scholar 

  • Tukey. J.W. (1960c). Conclusions vs. decisions, Technometrics. 2. 423–433 [also in. The Collected Works of John W. Tukey, Vol. III: Philosophy and Principles of Data Analysis, 1949-1964 (L.V. Jones, ed.), 1986, Wadsworth. Monterey. Calif.].

    Article  MathSciNet  MATH  Google Scholar 

  • Tukey. J.W. (1961a). Statistical and quantitative methodology, in Trends in Social Sciences (D.P. Ray, ed). Philosophical Library, New York [also in The Collected Works of John W. Tukey, Vol. III: Philosophy and Principles of Data Analysis, 1949–1964 ( I„V. Jones, ed.). 1986. Wadsworth. Monterey, Calif.].

    Google Scholar 

  • Tukey, J.W. (1961b). Data analysis and behavioral science or learning to shun the quantitative man’s burden by shunning badmandmcnts (mimeo) [also in The Collected Works of John W. Tukey. Vol. III: Philosophy and Principles of Data Analysis. 1949–1964 (L.V. Jones, ed.), 1986, Wadsworth. Monterey. Calif.].

    Google Scholar 

  • Tukey, J.W. (1969). A further inquiry into institutional differences by means of super- standardization (a regression adjustment beyond standardization), in The National Halothane Study ( J.P. Bunker. W.H. Forrest. Jr., F. Mosteller, and L.D. Vandam, eds.). U.S. Government Printing Officc, Washington, D.C.

    Google Scholar 

  • Tukey. J.W. (1977a). Exploratory Data Analysis. Addison-Wesley, Reading, mass.

    MATH  Google Scholar 

  • Tukey, J.W. (1977b). Some thoughts on clinical trials, especially problems of multiplicity, Sci. 198, 679–684.

    Article  Google Scholar 

  • Tukey, J.W. (1979). Study of robustness by simulation: Particularly improvement by adjustment and combination, in Robustness in Statistics ( R.L. Launer. and G.N. Wilkinson, eds.). Academic Press, New York.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of North Carolina at Chapel Hill, USA

    Lyle V. Jones

Authors
  1. Lyle V. Jones
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. College of Business and Management, University of Maryland at College Park, 20742, College Park, MD, USA

    Samuel Kotz

  2. Department of Statistics Phillips Hall, The University of North Carolina at Chapel Hill, 27599, Chapel Hill, NC, USA

    Norman L. Johnson

Rights and permissions

Reprints and permissions

Copyright information

© 1992 Springer-Verlag New York, Inc.

About this chapter

Cite this chapter

Jones, L.V. (1992). Introduction to Tukey (1962) The Future of Data Analysis. In: Kotz, S., Johnson, N.L. (eds) Breakthroughs in Statistics. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4380-9_30

Download citation

  • DOI: https://doi.org/10.1007/978-1-4612-4380-9_30

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-94039-7

  • Online ISBN: 978-1-4612-4380-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation