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Impact of Automated Perioperative Text Messaging on Patient-Initiated Communication After Total Joint Arthroplasty. [PDF]
Sauer MA +4 more
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Finite-Sample Adjustments in Estimating Equations for Correlated Overdispersed Count Outcomes With Application to Cluster Randomized Trials. [PDF]
Zhang Y, Preisser JS.
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Beyond mean-field age-structured models: degree heterogeneity and cross-country variability in epidemic risk. [PDF]
Qian Y, Xia C, Kuga K.
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The Non-Central Negative Binomial Distribution
Biometrical Journal, 1979AbstractThe non‐central negative binomial distribution is derived by mixing the POISSONdistribution with a certain BESSELfunction distribution, or the negative binomial distribution with the POISSONdistribution. Some properties of the distribution are discussed, including a characterization.
Seng Huat Ong, P A Lee
exaly +3 more sources
A Generalized Negative Binomial Distribution
SIAM Journal on Applied Mathematics, 1971A generalized negative binomial (GNB) distribution with an additional parameter $\beta $ has been obtained by using Lagrange’s expansion. The parameter is such that both mean and variance tend to increase or decrease with an increase or decrease in its value but the variance increases or decreases faster than the mean.
Jain, G. C., Consul, P. C.
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The Hyper‐Negative Binomial Distribution
Biometrical Journal, 1987AbstractA generalized family of the negative binomial distribution is introduced in a paper by Srivastava, Yousry and Ahmed (1986). It is a solution of the difference equation equation image and is called the hyper‐negative binomial distribution. Certain properties including the moments of the distribution are presented.
Yousry, M. A., Srivastava, R. C.
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On the generalization of negative binomial distribution
Statistics & Probability Letters, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shishebor, Z., Towhidi, M.
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