First course in probability and statistics

By J. Neyman. 1951

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Citations in the corpus

Uses, Abuses and Misuses of Significance Tests in the Scientific Community: Won't the Bayesian Choice be Unavoidable? (2001, background): “9985 [1 - p] that [soporific] 2 is the better soporific", Student, 1908, page 21), and again more surprisingly with Neyman himself ("in these conditions [a p-value of 1/15], the odds of 14 to 1 that this loss was caused by seeding [of clouds] do not appear negligible to us", Neyman et al., 1969). Tv”
Rationality for Mortals: How People Cope with Uncertainty (2008, background): “In its simplest version, Neyman-Pearson theory has two hypotheses and a binary decision criterion (Neyman, 1950, 1957).”
Where do statistical models come from? Revisiting the problem of specification (2006, unknown): “These difficulties were raised by early pioneers like Fisher [5]–[7] and Neyman [17]–[26], and discussed extensively by Lehmann [11] and Cox [1].”
Computational Mechanics: Pattern and Prediction, Structure and Simplicity (1999, unknown): “The classic focus of decision theory is \rules of inductive behavior" [99{101].”
Final Collapse of the Neyman-Pearson Decision Theoretic Framework and Rise of the neoFisherian (2009, background): “There is good evidence in his papers of the 1950s that Neyman also had second thoughts framework after the mid-1930s and seemingly 'agreed in principle with most of Fisher's criticisms' of it, " Neyman (1950, 1976 ) did champion the framework in its standard form in his textbook and a later essay.”
Mere Renovation is Too Little Too Late: We Need to Rethink our Undergraduate Curriculum from the Ground Up (2015, background): “…via Princeton, by Fred Mosteller at Harvard, and others—including statisticians Paul Hoel (1947) at UCLA, Samuel Wilks (1948) at Princeton, Jerzey Neyman (1950) at UC Berkeley, M. H. Quenoulli (1950) D. A. S. Fraser (1958) at the University of Toronto, and Robert Hogg (1959) at the University…”
The Reverend Thomas Bayes FRS: a Biography to Celebrate the Tercentenary of his Birth (2004, background): “After World War II, the usage was almost invariably the modern one (e.g., David, 1949; Good, 1950; Kendall, 1952; Neyman, 1950 did not mention Bayes at all).”
Confusion Over Measures of Evidence (p's) Versus Errors (α's) in Classical Statistical Testing (2003, background): “This does not mean that we necessarily believe that the hypothesisH is true : : : [while rejectingH ] : : : means only that the rule prescribes action B and does not imply that we believe that H is false (Neyman 1950, pp. 259-260).”