2001
DOI: 10.1007/978-1-4612-0215-8
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Binomial Distribution Handbook for Scientists and Engineers

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Cited by 41 publications
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“…2 can be obtained by where [⋅] represents expectation operation. Recall that the moment-generating function of the binomial random variable, , is given by [24] ( ) = ( ) = (1 − + ) .…”
Section: Appendix a Derivation Ofmentioning
confidence: 99%
“…2 can be obtained by where [⋅] represents expectation operation. Recall that the moment-generating function of the binomial random variable, , is given by [24] ( ) = ( ) = (1 − + ) .…”
Section: Appendix a Derivation Ofmentioning
confidence: 99%
“…For example, handbook [13] is directed at scientists and engineers who need to estimate and test hypotheses about the probability of an event. According to the authors, "The purpose of the book is twofold: it aims at providing practitioners with refined and easy-to-use techniques as well as initiating a new field of research in theoretical statistics.…”
Section: Elart Von Collani German Engineering Educatormentioning
confidence: 99%
“…However, because of the different wind conditions, the Bernoulli experiments are not identical. Therefore, the overall recurrence time T r must be partitioned in times for the different operating wind analogous to the derivation of equation (9). In contrast, in IEC 61400-1 Edition 3, Annex F, identical Bernoulli experiments are assumed, yielding a simple binomial distribution for the number of exceedances with parameters n = m and p = P e (F, T).…”
Section: Characteristic Load Of Annex F Iec 61400-1 Editionmentioning
confidence: 99%