Lines Matching refs:trials

28          RealType trials, 
32          RealType trials, 
36       // Estimate min/max number of trials:
55 For [@http://en.wikipedia.org/wiki/Bernoulli_trial Bernoulli trials]
57 the probability of observing /k/ trials (failures, events, occurrences, or arrivals)
60 [note For this implementation, the set of trials *includes zero*
61 (unlike another definition where the set of trials starts at one, sometimes named /shifted/).]
62 The geometric distribution assumes that success_fraction /p/ is fixed for all /k/ trials.
106 you must ensure that an integer value is provided for the number of trials 
125    RealType success_fraction() const; // successes / trials (0 <= p <= 1)
155 For example, if you observe /k/ failures from /n/ trials
178       RealType trials, 
184 [[trials][The total number of trials conducted.]]
189 For example, if you observe /k/ successes from /n/ trials the
216 This functions estimates the number of trials required to achieve a certain
229 Returns the smallest number of trials we must conduct to be 95% (1-0.05) sure
236 the number of trials (failures) that will lead to an /alpha/ probability
246 This functions estimates the maximum number of trials we can conduct and achieve
259 Returns the largest number of trials we can conduct and still be 95% sure
264 the number of trials that will lead to an /alpha/ probability
278    [The probability of obtaining [*exactly k failures] from /k/ trials
283    [The probability of obtaining [*k failures or fewer] from /k/ trials
288    [The probability of obtaining [*more than k failures] from /k/ trials
293    [The [*greatest] number of failures /k/ expected to be observed from /k/ trials
299    [The [*smallest] number of failures /k/ expected to be observed from /k/ trials