Poisson names the "law of large numbers" (la loi des grands nombres) in: Poisson, S. D. (1837). Probabilité des jugements en matière criminelle et en matière civile, précédées des règles générales du calcul des probabilitiés (in French). Paris, France: Bachelier. p. 7. He attempts a two-part proof of the law on pp. 139–143 and pp. 277 ff.
Kroese, Dirk P.; Brereton, Tim; Taimre, Thomas; Botev, Zdravko I. (2014). "Why the Monte Carlo method is so important today". Wiley Interdisciplinary Reviews: Computational Statistics. 6 (6): 386–392. doi:10.1002/wics.1314. hdl:1959.4/unsworks_43203. S2CID18521840.
Hacking, Ian (1983). "19th-century Cracks in the Concept of Determinism". Journal of the History of Ideas. 44 (3): 455–475. doi:10.2307/2709176. JSTOR2709176.
Bhattacharya, Rabi; Lin, Lizhen; Patrangenaru, Victor (2016). A Course in Mathematical Statistics and Large Sample Theory. Springer Texts in Statistics. New York, NY: Springer New York. doi:10.1007/978-1-4939-4032-5. ISBN978-1-4939-4030-1.
Kroese, Dirk P.; Brereton, Tim; Taimre, Thomas; Botev, Zdravko I. (2014). "Why the Monte Carlo method is so important today". Wiley Interdisciplinary Reviews: Computational Statistics. 6 (6): 386–392. doi:10.1002/wics.1314. hdl:1959.4/unsworks_43203. S2CID18521840.
Hacking, Ian (1983). "19th-century Cracks in the Concept of Determinism". Journal of the History of Ideas. 44 (3): 455–475. doi:10.2307/2709176. JSTOR2709176.
Kroese, Dirk P.; Brereton, Tim; Taimre, Thomas; Botev, Zdravko I. (2014). "Why the Monte Carlo method is so important today". Wiley Interdisciplinary Reviews: Computational Statistics. 6 (6): 386–392. doi:10.1002/wics.1314. hdl:1959.4/unsworks_43203. S2CID18521840.