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Statistical power
Mammography
Ronald Fisher
Detection theory
Positive predictive value
Key terms:
error
false
hypothesis
reject
false positives
neyman
type ii error
false negatives
null hypothesis
specificity
type i error
frr
tipo
biometric
statistician
bayes
kimball
nullified
spam filtering
wrong problem
statistical error
false alarm
false positive rate
sensitivity and specificity
jerzy neyman
egon pearson
alternative hypothesis
true positives
prior estimate
null hypothesis when
reprinted at pp
information retrieval
deciding whether
acceptable level
negative instances
neyman and pearson
error of rejecting
positive instances
false negative rate
cambridge university press
speculated hypothesis
statistical hypothesis
rate of false positives
when the null hypothesis
joint statistical papers
number of false negatives
error of failing to reject
rejecting the null hypothesis
false positives and false negatives
various proposals for further extension
Search external links cited by footnotes on Wikipedia page Type I and type II errors:
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