Statistical Science

A conversation with Leslie Kish

Martin Frankel and Benjamin King

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Leslie Kish was born in Poprad, Hungary in 1910. He arrived with his family in the United States in 1926 with an English vocabulary of approximately 300 words. Within a year, his father died and Leslie became the principal wage earner in a five-person household. By 1929 he had secured full-time employment as a lab assistant at the Rockefeller Institute for Medical Research. One year later he finished Bay Ridge Evening High School and enrolled in the College of the City of New York evening program. He became a U.S. citizen in 1936.

In 1937, with less than one college year left, Kish joined the International Brigades and went to Spain to fight for the Loyalists. He returned to the United States in 1939, and that same year received a B.S. in mathematics, cum laude, from the College of the City of New York.

Leslie Kish was hired by the U.S. Bureau of the Census in 1940 and in 1941 moved to the Division of Program Surveys of the Department of Agriculture. From 1942 to 1945 he served as a meteorologist in the U.S. Army Air Corps. After the war he returned to the Department of Agriculture, but in 1947 moved to the University of Michigan as a member of the newly created Survey Research Center, which became the Institute for Social Research. While working full time, Kish received an M.A. in mathematical statistics in 1948 and a Ph.D. in sociology in 1952. He became a lecturer at the University of Michigan in 1951, an Associate Professor in 1956, a professor in 1960 and professor emeritus in 1981.

Kish is a Fellow of the American Academy of Arts and Sciences and the American Association for the Advancement of Science. He served as President of the American Statistical Association in 1977. He was elected Honorary Fellow of the Royal Statistical Society in 1980 and was named Honorary Fellow of the International Statistical Institute in 1994. In 1988, Kish received an Honorary Doctorate in statistics from the University of Bologna (900th anniversary) and in 1995 was elected an Honorary Member of the Hungarian Academy of Sciences.

In addition to his pioneering work in the theory and practice of survey sampling, Kish has been responsible for the training of hundreds of practicing sampling statisticians in the United States and in more than 90 other countries.

The following conversation took place at Leslie Kish's home in Ann Arbor, Michigan, on July 22-23, 1994.

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Statist. Sci., Volume 11, Number 1 (1996), 65-87.

First available in Project Euclid: 16 September 2002

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Frankel, Martin; King, Benjamin. A conversation with Leslie Kish. Statist. Sci. 11 (1996), no. 1, 65--87. doi:10.1214/ss/1032209665.

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  • Alexander, C. (1993). A continuous measurement alternative for the U.S. Census. Proceedings of the Survey Methods Section. Amer. Statist. Assoc. 486-491.
  • Anderson, T. W. and Finn, J. D. (1996). The New Statistical Analy sis of Data. Springer, New York.
  • Arkin, H. (1938). An Outline of Statistical Methods as Applied to Economics, Business, Education, Social and physical Sciences, etc., 3rd ed. Barnes & Noble, New York.
  • Bowers, C. G. B. (1954). My Mission to Spain. Simon and Schuster, New York.
  • Box, G. E. P. (1979). Presidential address to the American Statistical Association. J. Amer. Statist. Assoc. 74 1-4.
  • Cochran, W. G. (1953). Sampling Techniques. Wiley, New York.
  • Cram´er, H. (1946). Mathematical Methods of Statistics. Princeton Univ. Press.
  • Deming, W. E. (1950). Some Theory of Sampling. Wiley, New York.
  • Deming, W. E. (1960). Sample Design in Business Research. Wiley, New York.
  • Fisher, A. (1915). The Mathematical Theory of Probabilities. MacMillan, New York.
  • Fisher, R. A. (1925). Statistical Methods for Research Workers. Oliver and Boy d, Edinburgh.
  • Fisher, R. A. (1935). The Design of Experiments. Oliver and Boy d, Edinburgh.
  • Frankel, L. R. and Stock, J. S. (1942). On the sample survey of unemploy ment. J. Amer. Statist. Assoc. 37 288-293.
  • Frankel, M. R. (1971). Inference from Survey Samples. Institute for Social Research, Ann Arbor, MI.
  • Freedman, D., Pisani, R. and Purves, R. (1978). Statistics. Norton, New York.
  • Fry, T. C. (1928). Probability and Its Engineering Uses. MacMillan, London.
  • Goodman, R. and Kish, L. (1950). Controlled selection-a technique in probability sampling. J. Amer. Statist. Assoc. 45 350-372.
  • Hansen, M. H., Hurwitz, W. N. and Madow, W. G. (1953). Sample Survey Methods and Theory, Vols. I and II. Wiley, New York.
  • Hauser, P. M. (1942). Proposed annual census of the population. J. Amer. Statist. Assoc. 37 81-88. Jowell, R., Hedges, B., Ly nn, P., Farrant, G. and Heath, A.
  • (1993). The polls-a review. The 1992 election: the factors of the polls. Public Opinion Quarterly 57, 238-263.
  • Kendall, M. G. (1945). The Advanced Theory of Statistics. Griffin, London.
  • Kiser, C. V. (1944). Implications of Population Trends for Postwar Policy: Report of the Round Table on Population. 21st Annual Conference of the Millbank Memorial Fund. Millbank, New York.
  • Kish, L. (1949). A procedure for objective respondent selection within the household. J. Amer. Statist. Assoc. 44 380-387.
  • Kish, L. (1961). Efficient allocation of a multi-purpose sample. Econometrica 29 363-385.
  • Kish, L. (1965). Survey Sampling. Wiley, New York.
  • Kish, L. (1978). Presidential address to the American Statistical Association. J. Amer. Statist. Assoc. 73 1-6.
  • Kish, L. (1987). Statistical Design for Research. Wiley, New York.
  • Kish, L. (1988). Multipurpose sample design. Survey Methodology 14 19-32.
  • Kish, L. (1990). Rolling samples and censuses. Survey Methodology 16 63-93.
  • Kish, L. (1994). Multipopulation survey designs. Internat. Statist. Rev. 62 167-186.
  • Kish, L. (1994). Statistical medicine. Science 265 591.
  • Kish, L. (1995). Methods for design effects. Journal of Official Statistics 2 55-78.
  • Kish, L. and Anderson, D. W. (1978). Multivariate and multipurpose stratification. J. Amer. Statist. Assoc. 73 23-34.
  • Kish, L. and Frankel, M. R. (1970). Balanced repeated replications for standard errors. J. Amer. Statist. Assoc. 65 1071- 1094.
  • Kish, L. and Frankel, M. R. (1974). Inference from complex samples. J. Roy. Statist. Soc. Ser. B 36 1-37.
  • Kish, L., Frankel, M. R. and Van Eck, M. (1972). SEPP: Sampling Error Program Package. Institute for Social Research, Ann Arbor.
  • Kish, L., Frankel, M. R., Verma, V. and Kacirot´e, N. (1995). Design effects for correlated (Pi Pj). Unpublished manuscript.
  • Kish, L., Lansing, J. B., Dent, J. and Katona, G. (1950). Methods of the Survey of Consumer Finances. Federal Reserve Bulletin 36 759-809.
  • Levy, H. and Roth, L. (1936). Elements of Probability. The Clarendon Press, Oxford.
  • Moser, C. A. and Stuart, A. (1953). An experimental study of quota sampling. J. Roy. Statist. Soc. Ser. A 116 349-405.
  • Murthy, M. N. (1967). Sampling Theory and Methods. Statistical Publishing Society, Calcutta.
  • Nelder, J. (1994). News and Notes of the Roy al Statistical Society, February.
  • Ney man, J. (1934). On the two different aspects of the representative method. J. Roy. Statist. Soc. 97 558-625.
  • Ney man, J. (1939). Lectures and Conferences on Mathematical Statistics and Probability. Graduate School, USDA, Washington.
  • Pearl, R. (1930). Introduction to Medical Biometry and Statistics. Saunders, Philadelphia, PA.
  • Pearson, K. (1892). Grammar of Science. C. Scribner and Sons, New York.
  • Purcell, N. J. and Kish, L. (1980). Postcensal estimates for local areas (small domains). Internat. Statist. Rev. 48 3-18.
  • Rosahn, P. D. (1935). Graphic methods for representing the significance of the difference between means. Human Biology 7 267-271.
  • Rosahn, P. D. (1937). Statistical methods for laboratory and clinical investigators: chi-square test homogeneity. Journal of Laboratory and Clinical Medicine 22 417-425.
  • Schrecker, E. W. (1986). No Ivory Tower. Oxford Univ. Press.
  • Shewhart, W. A. (1939). Statistical Method from the Viewpoint of Quality Control. Graduate School, USDA, Washington.
  • Snedecor, G. W. (1937). Statistical Methods, Iowa State Univ. Press, Ames, IA.
  • Snedecor, G. W. and Cochran, W. G. (1989). Statistical Methods, 8th ed. Iowa State Univ. Press, Ames, IA.
  • Sudman, S. (1967). Reducing the Cost of Survey s. Aldine, Chicago, IL.
  • Sukhatme, P. V. (1954). Sampling Theory of Survey s and Applications. Iowa State Univ. Press, Ames, IA.
  • Tippett, L. H. C. (1931). The Methods of Statistics. Williams and Norgate Ltd., London.
  • Wallace, H. A. and Snedecor, G. W. (1931). Correlation and machine calculation. Publication 30, No. 4, Iowa State College, Ames, IA.
  • Yates, F. (1949). Sampling Methods for Censuses and Survey s. Griffin, London.
  • Yule, G. U. and Kendall, M. G. (1937). Introduction to the Theory of Statistics. Griffin, London.