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  1. 29 de abr. de 2024 · Home. OM book glossary. Exploratory data analysis (EDA) A statistical approach, methodology, inspired by John Tukey. Tukey was something of a polymath and I recommend the Wikipedia article about him not least for the glorious first hand description of one of his lectures!

  2. Há 1 dia · Rudolph J. Rummel estimated that from 1900 to 1923, various Turkish regimes killed from 3,500,000 to over 4,300,000 Armenians, Greeks, and Assyrians. Rummel estimates that 440,000 Armenian civilians and 264,000 Greek civilians were killed by Turkish forces during the Turkish War of Independence between 1919 and 1922.

    • 15 May 1919 – 11 October 1922, (3 years, 4 months, 3 weeks and 5 days)
  3. 15 de abr. de 2024 · July 28, 2014. Edited by ImportBot. import new book. April 1, 2008. Created by an anonymous user. Imported from Scriblio MARC record . Exploratory data analysis by John Wilder Tukey, 1977, Addison-Wesley Pub. Co. edition, in English.

  4. roughlydaily.com › 2024/04/16 › the-greatest-valuePriestley's maps of time

    16 de abr. de 2024 · * John Tukey As we celebrate constructive charts, we might spare a thought for Edward Lorenz, a mathematician and meteorologist, best remembered as a pioneer of Chaos Theory; he died on this date in 2008.

  5. 29 de abr. de 2024 · Mathematician and statistician John Tukey famously said, “the best thing about being a statistician is you get to play in everybody else’s backyard”. This, I completely agree with, especially within the Health Research Institute (HRI) where collaborative research thrives.

  6. 2 de mai. de 2024 · Like the § Tukey window, this window naturally offers a "flat top" to control the amplitude attenuation of a time-series (on which we don't have a control with Gaussian window). In essence, it offers a good (controllable) compromise, in terms of spectral leakage, frequency resolution and amplitude attenuation, between the Gaussian window and the rectangular window.

  7. 29 de abr. de 2024 · What it was like to be a student of John Tukey. Thinking like a statistician – and why you’ll never go back once you start. Turning weakly good graphs into strongly good graphs. Why it doesn’t pay to get results before you’re ready. How to tell better stories with data.