THE STATISTICS

  • 1662

    1662
    John Graunt publishes "Natural and Political Observations Made upon the Bills of Mortality", a pioneering work in statistical analysis.
  • 1900

    1900
    Ronald Fisher develops maximum likelihood and many statistical tests.
  • 1920

    1920
    Jerzy Neyman and Egon Pearson develop the concept of hypothesis testing and the famous Neyman-Pearson "lemma".
  • 1950

    1950
    John Tukey develops exploratory data analysis, which emphasizes graphical techniques for data analysis.
  • 1980

    1980
    Bradley Efron develops the concept of bootstrap resampling, which is used to estimate the variance of statistical estimates.
  • 1990

    1990
    John Nelder and Robert Wedderburn develop the concept of generalized linear models, which are used to model a wide range of data types.
  • 2000

    2000
    Edward Witten and others develop the concept of causal inference, which is used to infer causal relationships from observational data.