Results 11 to 20 of about 144,564 (262)
Exponential-Negative Binomial Distribution
Revstat Statistical Journal, 2013 REVSTAT-Statistical Journal, Vol. 11 No.
Sadegh Rezaei, Saralees Nadarajah
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Early warning and predicting of COVID-19 using zero-inflated negative binomial regression model and negative binomial regression model. [PDF]
BMC Infect DisBackground It is difficult to detect the outbreak of emergency infectious disease based on the exiting surveillance system. Here we investigate the utility of the Baidu Search Index, an indicator of how large of a keyword is in Baidu’s search volume, in ...
Zhou W +10 more
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Negative Binomial Matrix Factorization [PDF]
IEEE Signal Processing Letters, 2020 We introduce negative binomial matrix factorization (NBMF), a matrix factorization technique specially designed for analyzing over-dispersed count data. It can be viewed as an extension of Poisson factorization (PF) perturbed by a multiplicative term which models exposure. This term brings a degree of freedom for controlling the dispersion, making NBMF
Olivier Gouvert +2 more
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The Negative $q$-Binomial [PDF]
The Electronic Journal of Combinatorics, 2012 Interpretations for the $q$-binomial coefficient evaluated at $-q$ are discussed. A $(q,t)$-version is established, including an instance of a cyclic sieving phenomenon involving unitary spaces.
Shishuo Fu +3 more
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Negative Binomial Additive Models [PDF]
Biometrics, 2000 Summary.The generalized additive model is extended to handle negative binomial responses. The extension is complicated by the fact that the negative binomial distribution has two parameters and is not in the exponential family. The methodology is applied to data involving DNA adduct counts and smoking variables among ex‐smokers with lung cancer. A more
Thurston, Sally W. +2 more
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The negative binomial-weighted Lindley distribution [PDF]
Decision Science Letters, 2019 This paper proposes a new distribution named the negative binomial-weighted Lindley. The study uses the maximum likelihood estimation to estimate the parameters of the proposed distribution and compares the performance of the new method with other ...
Sunthree Denthet , Pramoch Promin
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Applied Mathematics in Science and Engineering, 2022 The study of statistical distributions in a complex variable is one of the most vibrant areas of research. The complex analogue of many distributions has been studied.
Rubab Nawaz +5 more
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Computation of the Distribution of the Sum of Independent Negative Binomial Random Variables
Mathematical and Computational Applications, 2023 The distribution of the sum of negative binomial random variables has a special role in insurance mathematics, actuarial sciences, and ecology. Two methods to estimate this distribution have been published: a finite-sum exact expression and a series ...
Marc Girondot, Jon Barry
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Analyzing ingrowth using zero-inflated negative binomial models
Silva Fennica, 2020 Ingrowth is an important element of stand dynamics in several silvicultural systems, especially in continuous cover forestry. Earlier predictive models for ingrowth in Finnish forests are few and not based on up-to-date statistical methods.
Lappi, Juha, Pukkala, Timo
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scMODD: A model-driven algorithm for doublet identification in single-cell RNA-sequencing data
Frontiers in Systems Biology, 2023 Single-cell RNA sequencing (scRNA-seq) data often contain doublets, where a doublet manifests as 1 cell barcode that corresponds to combined gene expression of two or more cells. Existence of doublets can lead to spurious biological interpretations. Here,
Xinye Zhao, Alexander Du, Peng Qiu
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