This chapter describes two models of statistical inference: the population model first put forward by J. Neyman and E. Pearson in 1928 and the permutation model developed by R. A Fisher, R. C. Geary, T. Eden, F. Yates, H. Hotelling, M. R. Pabst, and E. J. G. Pitman in the 1920s and 1930s. The remainder of the chapter presents a brief history of the early years and subsequent development of permutation statistical methods from 1920 to the present.

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Permutation Statistical Methods

  • Kenneth J. Berry,
  • Janis E. Johnston,
  • Michael A. Long,
  • Paul B. Stretesky,
  • Michael J. Lynch

摘要

This chapter describes two models of statistical inference: the population model first put forward by J. Neyman and E. Pearson in 1928 and the permutation model developed by R. A Fisher, R. C. Geary, T. Eden, F. Yates, H. Hotelling, M. R. Pabst, and E. J. G. Pitman in the 1920s and 1930s. The remainder of the chapter presents a brief history of the early years and subsequent development of permutation statistical methods from 1920 to the present.