Results 201 to 210 of about 13,727 (246)
Some of the next articles are maybe not open access.
From the binomial to the poisson distribution
Nutrition, 1997“Probability is the reflection of man’s ignorance” as the saying goes, but all too often it is an honest reflection of the available information when dealing with the uncertainties of the future. For example, when having to choose which operation would be safest on a particular patient, surely we would choose the one that has the best chance of success.
BELLOCCO, RINO, Pagano, M.
openaire +2 more sources
International Journal of Fuzzy System Applications, 2012
Buckley and Eslami (2003) introduced a discrete distribution, namely Fuzzy Binomial distribution, that is intended to suit situations wherein impreciseness and randomness coexist. Using the approach of Liu (2008), a hybrid (combination of imprecision and randomness) version of Binomial distribution is developed.
openaire +1 more source
Buckley and Eslami (2003) introduced a discrete distribution, namely Fuzzy Binomial distribution, that is intended to suit situations wherein impreciseness and randomness coexist. Using the approach of Liu (2008), a hybrid (combination of imprecision and randomness) version of Binomial distribution is developed.
openaire +1 more source
THE TRUNCATED NEGATIVE BINOMIAL DISTRIBUTION
Biometrika, 1955(1920), Fisher (1941), Haldane (1941), Anscoinbe (1950) and Bliss & Fisher (1953), and is extensively used for the description of data too heterogeneous to be fitted by a Poisson distribution. Observed samples, however, may be truncated, in the sense that the number of individuals falling into the zero class cannot be determined.
openaire +1 more source
1989
You are quite aware of the work needed to compute probabilities for the hypergeometric distribution. We will see how to use the following mathematical theorem to get some simplification.
Hung T. Nguyen, Gerald S. Rogers
openaire +1 more source
You are quite aware of the work needed to compute probabilities for the hypergeometric distribution. We will see how to use the following mathematical theorem to get some simplification.
Hung T. Nguyen, Gerald S. Rogers
openaire +1 more source
Extended binomial AR(1) processes with generalized binomial thinning operator
Communications in Statistics - Theory and Methods, 2020Dehui Wang, Kai Yang
exaly
Prediction of Future Random Events with the Condensed Negative Binomial Distribution
Journal of the American Statistical Association, 1983Donald G Morrison
exaly