Good–Turing frequency estimation

Summary

Good–Turing frequency estimation is a statistical method^[1]. It draws 13 Wikipedia views per month (statistical_method category, ranking #26 of 29).^[2]

Key Facts

• Good–Turing frequency estimation is credited with the discovery of Alan Turing^[3].
• Good–Turing frequency estimation is credited with the discovery of I. J. Good^[4].
• Good–Turing frequency estimation's instance of is recorded as statistical method^[5].
• Alan Turing is named after Good–Turing frequency estimation^[6].
• I. J. Good is named after Good–Turing frequency estimation^[7].
• Good–Turing frequency estimation's Freebase ID is recorded as /m/0g_k95^[8].
• Good–Turing frequency estimation's Google Knowledge Graph ID is recorded as /g/128dgp84z^[9].
• Good–Turing frequency estimation's GitHub topic is recorded as good-turing-smoothing^[10].

Body

Works and Contributions

Credited discoveries include Alan Turing^[3], a computer scientist^[11], 1912–1954^[12], of United Kingdom^[13], awarded the Fellow of the Royal Society^[14], specialised in cryptanalysis^[15] and I. J. Good^[4], a mathematician^[16], 1916–2009^[17], of United Kingdom^[18], awarded the Smith's Prize^[19], specialised in statistics^[20].

Why It Matters

Good–Turing frequency estimation draws 13 Wikipedia views per month (statistical_method category, ranking #26 of 29).^[2]